bluuebunny/crossref_metadata_2025 huggingface dataset:
Towards the Development of Smart Spaces-Based Socio-Cyber-Medicine Systems
Authors: Zavyalova Yulia V. , Korzun Dmitry G. , Meigal Alexander Yu. , Borodin Alexander V.
Published: August 2019

The concept of Cyber-Medicine System (CMS) is applied to research and development of medical information systems where the Internet is used to integrate medical devices and healthcare services into the system and to connect patients and medical professionals. In this paper, the authors generalize the concept to Socio-CMS, where the social world is added to the fusion of physical and cyber worlds. The social world affects the end-user activity and provides opportunities for collaborative work. A semantic layer is introduced to integrate all system and domain objects from the three digitalized worlds into a smart space: multi-source data, ongoing processes, situation attributes, reasoning rules, and human activity. All objects are dynamically related, leading to such a knowledge-rich structure as a semantic network. Data mining and analytics apply semantic algorithms for this network, including the Big Data case. The derived knowledge feeds construction of advanced healthcare services for supporting medical professionals and for assisting patients.
Physician Engagement With Health Information Technology
Authors: Carlton Erik L. , Holsinger Jr. James W. , Anunobi Nnamdi
Published: August 2019

In an era of healthcare reform and health information technology (HIT), physicians' roles in delivering healthcare are rapidly involving. New technologies present exciting opportunities and challenges to physicians to enhance medical practice, reduce costs, and improve patient experiences, as well as opportunities to develop new competencies and standards of professionalism. The Dreyfus model for skills acquisition may provide a helpful framework. Understanding and leveraging motivations and barriers to adoption within the context of competency can promote a learning culture that can more readily evolve to include new HIT. Involving physicians in designing and implementing HIT systems could result in increasing physician satisfaction. Supportive staffing and technical assistance may aid physicians to successfully implement the systems without increasing workload or decreasing professional satisfaction. Understanding the needs of 21st century physicians related to HIT solutions should greatly increase the successful integration of HIT into the 21st century healthcare work place.
Medical Case Based Reasoning Frameworks
Authors: El-Sappagh Shaker , Elmogy Mohammed Mahfouz
Published: August 2019

Case-Based Reasoning (CBR) is one of the most suitable AI techniques for building clinical decision support systems. Medical domain complexity introduces many challenges for building these systems. Building the systems' knowledge base from the Electronic Health Record (EHR), the encoding of case-base knowledge with standard medical ontology, and the handling of vague data are examples of these challenges. Although several advantages of using CBR in medicine have been identified, there are no real systems acceptable to physicians. This systematic review examines the current state of CBR and its limitations in the medical domain, especially for diabetes mellitus. The critical evaluation of the status of diabetes CBR systems presents unique opportunities for improving these systems. The literature review covers most of the English language studies extracted from relevant databases by using search terms relating CBR, ontology, Fuzzy, and standard terminology concepts. The authors identify 38 articles published between 1999 and 15 January 2015, which represent original researches in CBR domain. The study includes 15 (39.5%) non-medical studies and 23 (60.5%) medical studies with ~22% for diabetes CBR. A list of 18 integrated evaluation metrics has been proposed and used in the analysis. The results show that the non-medical CBR systems achieved higher advances (50%) than medical systems (42.9%). In addition, the diabetes management CBR systems achieve the lowest advances (21.4%) compared to other systems. These shortages explain the question “why CBR paradigm are not fully utilized in the commercial medical systems?” As a result, there is a distinct need for more comprehensive enhancements in clinical CBR especially diabetes systems.
A Multiplatform Decision Support Tool in Neonatology and Pediatric Care
Authors: Guimarães Tiago , Coimbra Ana , Frutuoso Simão , Abelha António
Published: August 2019

As regards the dosage of drug, children are a much more vulnerable population than the adults. With this in mind it is extremely important the administration of the correct dosage. For this purpose, it was develop a framework, based on a prototype already tested in a real environment, with the main concern to help pediatricians in their daily tasks. Thus, this framework includes tools that can help in the preparation of Total Parenteral Nutrition prescriptions, table pediatric and neonatal emergency drugs, medical scales of morbidity and mortality, anthropometry percentiles (weight, length/height, head circumference and BMI), utilities for supporting medical decision on the treatment of neonatal jaundice and anemia and other calculators. This paper presents the architecture, their functionalities and a SWOT analysis of the solution proposed.
A Trusted Ubiquitous Healthcare Monitoring System for Hospital Environment
Authors: Prasad Durga , Chiplunkar Niranjan N. , Nayak K. Prabhakar
Published: August 2019

Wireless Body Sensor Network with wearable and implantable body sensors have been grabbing lot of interests among the researchers and healthcare service providers. These sensors forward physiological data to the personnel at the hospital, doctor or caretaker anytime, anywhere; hence the name of the network is Ubiquitous health monitoring system. The technology has brought Internet of Things into this system making it to get connected to the cloud based internet. This has made the retrieval of information to the expert and thus improving the happiness of elderly people and patients suffering from chronic diseases. This paper focuses on creating an android based application for monitoring patients in hospital environment. The necessity of sharing hospital data to the experts around the globe has brought the necessity of trust in Health care systems. The data sharing in the IOT environment is secured. The environment is tested in real-time cloud environment. The proposed android application serves to be better architecture for hospital monitoring.
Designing Smart Home Environments for Unobtrusive Monitoring for Independent Living
Authors: Papadopoulos Homer
Published: August 2019

The “Unobtrusive Smart Environments for Independent Living” EU funded project is proposing an integrated system (USEFIL system) which intends to cope with ageing problem providing advanced, affordable and unobtrusive monitoring and web communication solutions for seniors living independently. The USEFIL system enhances social care and medical service provision by exploiting “frugal” ICT solutions such as low cost “off-the-shelf” technology and unobtrusive monitoring technologies to develop services that will assist the elderly in maintaining their independence throughout their daily activities. The project adopted the Design Science Research Methodology (DSRM) to design and develop the USEFIL system because this methodology incorporates all those principles, practices, and procedures to help us meet USEFIL systems' objectives. Aim of the paper is to demonstrate the use of the DSRM process to design an ICT solution for the case study of ICT technologies for assistive living environments for elderly people. More specifically using the theoretical lens of the Design Science Research Methodology theory the paper presents the necessary steps that have been conducted to design the USEFIL system. The USEFIL system was implemented and validated over a three year period with elderly people, their unofficial carers and doctors. Results demonstrate that the technology readily succeeds in meeting the study's initial objectives. Although the project is still running and the design specification of the USEFIL system is under continuous update, the main modules that have been designed and realized will be presented in the paper.
Parallel and Distributed Population Based Feature Selection Framework for Health Monitoring
Authors: El Aboudi Naoual , Benhlima Laila
Published: August 2019

Smart health monitoring systems have become the subject of an extensive research during the past decades due to their role in improving the quality of health care services. With the increase of heterogeneous data produced by these systems, traditional data preprocessing methods are not able to extract relevant information. Indeed, feature selection is a key phase to preprocess data, it aims to select a relevant feature subset to reach better classification results with an affordable computational cost. In this study, we provide an overview of existing feature selection methods especially those used in the context of Bigdata, pointing out their advantages and drawbacks. Then, we propose a parallel population based feature selection framework for health monitoring.
Working Anywhere for Telehealth
Authors: Blount Yvette , Gloet Marianne
Published: August 2019

Clinicians (general practitioners, specialists, and allied health professionals) are experts in medicine, not technology. The delivery of health care using technology includes changes to the way the clinician works; in effect, they work from anywhere. This study examined telehealth adoption from the perspective of clinicians. Data was collected from 44 in-depth interviews undertaken with a variety of Australian clinicians. The findings show that telehealth is a complex endeavour involving multiple stakeholders. While the potential of telehealth service provision is significant, the realities of delivering telehealth services involve many challenges for clinicians. These include technology-related issues; lack of funding and financial incentives for telehealth; the changing skills and capabilities required by clinicians who engage in telehealth consultations; as well as changes to business processes resulting from the introduction in a complex environment. A conceptual model for the adoption of sustainable telehealth is proposed for better understanding of these complexities.
Using Simulation to Teach Security and Encryption to Non-Technical Healthcare Professionals
Authors: Gaynor Mark , Omer Tracy , Turner Jason S.
Published: August 2019

This paper intends to simplify challenging concepts through role-play demonstrations and serve as a foundation for understanding the basis of securing healthcare data. Disparity exists between the rising need for security of electronic healthcare information and the number of healthcare leaders who understand the concepts behind ensuring privacy and accuracy of such data. Healthcare managers with a basic understanding of data encryption and how it safeguards health information are vital to the success of Electronic Health Records. They often are responsible for proper oversight of such systems and should instill confidence in medical providers and patients that electronic medical data is safe and accurate. However, data security and privacy are complex concepts and remain foreign to many healthcare managers. This paper reviews the benefits of simulation learning and outlines a workshop and simulation game developed in response to difficulties teaching the technology of encryption. The results are validated with anecdotal and indirect statistical evidence.
Internet of Things and Security Perspectives
Authors: Kasemsap Kijpokin
Published: August 2019

This chapter reveals the overview of the Internet of Things (IoT); the IoT, Wireless Sensor Networks (WSNs), and Radio Frequency Identification (RFID); the technology of the IoT; the IoT and security concerns; the information security aspects of the IoT; the applications of the IoT in modern health care; and the implications of the IoT in the digital age. Organizations can utilize the IoT to gain the considerable cost savings by improving asset utilization, enhancing process efficiency, and increasing productivity in global operations. However, the IoT has its own challenges, such as the privacy of personal data, the lack of compatibility, and security breach. The chapter argues that utilizing the IoT and security techniques has the potential to enhance organizational performance and meet security requirements toward threat prevention in global operations.
Technopsychology of IoT Optimization in the Business World
Authors: Prayoga Tommy , Abraham Juneman
Published: August 2019

There are at least two complementary levels in the Internet of Things. The first (back) end comes from the big data companies that mine and analyze every log of activities through every device that are attached to the second (front) end, i.e., the many aspects of our lives. However, what keeps this wheel of innovation going forward is actually the front end user. Technology, however improved and innovative, will not fulfill its full potential if users do not adopt and accept it as part of their lives. They must be willing to work with the technology - sold as way to ease and improve lives - for the machine to work and be meaningful. By then the big data companies can gather information about what users want and how they behave to grasp a better understanding and make better decisions about next technology improvement. Users' acceptance and decisions to appropriate shape how big data companies work and innovate. Acceptance and appropriation are the two of the most important areas to explore in the field of IoT optimization in the business world.
Basic Concepts of Internet of Things and Game Theory
Authors: Kim Sungwook
Published: August 2019

With the evolution of the Internet and related technologies, there has been an evolution of new paradigm, which is the Internet of Things (IoT). IoT is the network of physical objects, such as devices, embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data. In the IoT, a large number of objects are connected to one another for information sharing, irrespective of their locations (Corcoran, 2016). Even though the IoT was defined at 1999, the concept of IoT has been in development for decades. As the technology and implementation of the IoT ideas move forward, different views for the concept of the IoT have appeared (Ma, 2011). Based on different views, in this book, the IoT is defined as a kind of modern technology, implicating machine to machine communications and person to computer communications will be extended to everything from everyday household objects to sensors monitoring the movement. Currently, we can see a few key areas of focus for the Internet of Things (IoT) that will require special attention over the course of the next decade on the part of computer science, energy technology, networks, wireless communication, and system platform. There are already a number of implementation case studies emerging from companies across a range of industry sectors.
Internet of Things in Real Life
Authors: Dabre Abhijeet Chandrakant , Mahamure Sandesh Shivaji , Wadibhasme Snehal Pandurang
Published: August 2019

This chapter specifically with Internet of Things (IoT), initially presents what exactly it is? It's just a smart route to improving daily life activities by connecting devices to widely used Internet. Then gradually put a view on history, which closely talked about traditional ways of communication mechanisms, moving forward it touches the current ideology of IoT. Further in this chapter authors discussed different aspects of IoT which was explained by different philosophers and it clears the idea of how to introduce, how to learn and how to launch IoT in different sectors (such as education, power generation, water management, road safety, automobiles etc). The practicality of the knowledge explains the usefulness of IoT and also explains how it impacts on the overall growth of the country and why every individual attracted towards this smart network of things. At the end, this chapter accomplished with the need of IoT in developing countries, how IoT provides efficient solutions to overcome upcoming challenges and finally briefs about why it is recommended.
Framework for Threat Analysis and Attack Modelling of Network Security Protocols
Authors: Athavale Nachiket , Deshpande Shubham , Chaudhary Vikash , Chavan Jatin , Barde S. S.
Published: August 2019

Nowadays everything is computerized including banking and personal records. Also, to boost business profits, businessmen have changed their way of operations from physical way to electronic way, for example Flipkart. But as these developments benefit the developer they also increase the chance of exposing all of customer's personal details to malicious users. Hackers can enter into the system and can steal crucial or sensitive information about other authentic users and in case of banks leads to frauds. Security thus, becomes an important issue for all companies and banks. Intrusion detection systems help such companies by detecting in real time whether an intrusion is carried on or not. Here the authors are developing a signature based intrusion detection system which will scan incoming packets and send a warning message to system administrator. Also, the authors are implementing a framework and provide it to all the users so that developing intrusion detection based system similar to ours. The advantage of using framework is that it can be upgraded and re-defined whenever it is needed.
Security in Mission Critical Communication Systems
Authors: Medhat Karen , Ramadan Rabie A. , Talkhan Ihab
Published: August 2019

This chapter introduces two different algorithms to detect intrusions in mission critical communication systems to guarantee their security. The first algorithm is a classification algorithm which applies the concept of supervised learning. The second algorithm is a clustering algorithm which applies the concept of unsupervised learning. The algorithms detect intrusions using a set of detection rules that are structured in the form of decision trees. The algorithms are described in details and their results on well-known dataset are introduced. An enhancement for the J48algorithm is also introduced, where the decision tree for the algorithm is changed to a binary tree. The change enhances the complexity to reach a decision. The chapter includes a brief introduction about the security in Mission critical systems and the reason behind securing such systems. It introduces different methodologies that were introduced to detect intrusions in wireless communications.
Security in Network Layer of IoT
Authors: Balamurugan B. , Biswas Dyutimoy
Published: August 2019

The internet of things (IoT) is an imminent model in the field of wireless telecommunications. It is also considered as a third wave of information technology after the Internet and mobile communication. Basically, IoT is a wireless interconnected network of variety of objects such as radio frequency identification (RFID) tags, sensors, actuators, mobile phones and other types of wireless devices. It has extensible application in the areas such as public security, infrastructure development, modern agriculture, environment protection, urban management, healthcare, enhanced learning, and business service, among others. IoT is a self-configuring wireless network of sensors where the primary goal of establishing connection is to offer interconnectivity of various objects. The concept of IoT was coined by the Auto-Id center of the Massachusetts Institute of Technology (MIT) in 1999
IoT Architecture
Authors: Sultana H. Parveen
Published: August 2019

Internet of Things (IoT) is an emerging area for the researchers. IoT with the combination of thing, gateway, and Internet perform any operation in a smart way. This chapter discusses the importance of Internet of Things in various application areas. It has been elucidated that how IoT can be used effectively in the smart wireless networks. Most of the devices used in the IoT system are of sensor and actuator devices. The architectural model and communication layout of IoT is explicated through appropriate diagrams. A 16 bit and 32 bit microcontroller based processors are used in the IoT devices to send and receive instructions from the machine to machine, people to people and people to machine. As and when changes or any variations occur in the smart environment suitable instructions are forwarded through gateway to execute corrective task.
Mathematical Representation of Quality of Service (QoS) Parameters for Internet of Things (IoT)
Authors: Mahamure Sandesh , Railkar Poonam N. , Mahalle Parikshit N.
Published: August 2019

Now we are in the era of ubiquitous computing. Internet of things (IoT) is getting matured in various parts of the world. In coming few years' billions and trillions of things will be connected to the internet. To deal with these huge number of devices in a network we need to consider Quality of Service (QoS)parameters so that system operations can be performed in a smoother way. Mathematical modelling of these QoS parameters gives an idea about which factors are needs to consider while designing any IoT-enabled system at the same time it will give the performance analysis of the system before implementation. In this paper comprehensive literature survey is done to discuss various issues related to QoS and gap analysis is also done for IoT Enabled systems. This paper proposes general steps to build a mathematical model for a system. It also proposes the mathematical model for QoS parameters like reliability, communication complexities, latency and aggregation of data for IoT. To support proposed mathematical model proof of concept also given.
Making IoT Run
Authors: Schott Peter , Schaft Torben , Thomas Stefan , Bodendorf Freimut
Published: August 2019

This article describes how today's manufacturing environments are characterized by an increasing demand for individual products and constantly more product variants. Concomitant, developments in the fields of IT, robotics and artificial intelligence allow the realization of smart systems, which means networked, self-learning, self-regulating and versatile production systems to control this complexity. These developments are referred to as industrial IoT that is acknowledged as “next big thing” in production. Firms face the challenge of lacking guidelines for implementing IoT solutions. Neither the technological prerequisites nor generally applicable procedures for realizing an appropriate technological maturity level of the system-to-be exist. Addressing this deficit, a framework is introduced which systematically implements IoT within manufacturing. The framework presents a guideline for the establishment of structural system understanding, the determination of the target system's technological maturity level from a customer's perspective and, building on this, design implications for smart manufacturing.
An Architecture to Implement the Internet-of-Things using the Prometheus Methodology
Authors: Manațe Bogdan , Fortiş Florin , Moore Philip
Published: August 2019

The rapid expansion of the Internet of Things (IoT) will generate a diverse range of data types that needs to be handled, processed and stored. This paper aims to create a multi-agent system that suits the needs introduced by the IoT expansion, thus being able to oversee the Big Data collection and processing and also to maintain the semantic links between the data sources and data consumers. In order to build a complex agent oriented architecture, we have assessed the existing agent oriented methodologies searching for the best solution that is not bound to a specific programming language of framework, and it is flexible enough to be applied in such a divers domain like IoT. As complex scenario, the proposed approach has been applied to medical diagnosis and motoring of mental disorders.
I-BAT
Authors: Jara Antonio J. , Dufour Luc , Rizzo Gianluca , Pawlowski Marcin Piotr , Genoud Dominique , Cotting Alexandre , Bocchi Yann , Chabbey Francois
Published: August 2019

Microgrids present the challenge to reach a proper balance between local production and consumption, in order to reduce the usage of energy from external sources. This work presents a data-intensive solution to predict the energy behaviors. Thereby, control actions can be carried out such as decrease heating systems levels and switch of low-priority devices. For this purpose, this work has deployed an Advanced Metering Infrastructure (AMI) based on the Internet of Things (IoT) in the Techno-Pole testbed. This deployment provides the data from energy-related parameters such as load curves of the overall building through Non-Intrusive Load Monitoring (NILM), a wireless network of IoT-based smart meters to measure and control appliances, and finally the generated power curve by 2000 square meters of photovoltaic panels. The prediction model proposed is based on recognition of electrical signatures. These electrical signatures have been used to detect complex usage patterns. The modelled patterns have allowed to identify the work day of the week, and predict the load and generation curves for 15 minutes with accuracy over the 90%. This short-term prediction allows one to carry out the proper actions in order to balance the microgrid status (i.e., get a proper balance between production and consumption with respect to worked requirements).
Detection Protocol of Possible Crime Scenes Using Internet of Things (IoT)
Authors: Alohali Bashar
Published: August 2019

Forensics is a science that deals with using scientific principles in order to aid an investigation of a civil or criminal crime. It is a system of procedures that allow an investigator to use as much resources as possible in order to come up with a conclusion for an investigation. Since forensics is a very general term that encompasses an investigation process using scientific knowledge, one can separate a system of investigation based on how it is conducted. This chapter introduces of internet of things (IoT) forensics, IoT application in forensics field. Art-of-states for IoT forensics are provided. The issues for IoT forensics are identified. Also, we have introduced the proposed data classification in Iot forensics protocol. At the end of this chapter, we point out a brief summary and conclusion.
A New Image Encryption Method Based on Improved Cipher Block Chaining with Optimization Technique
Authors: Krishnamoorthy Kuppusamy , Jeyabalu Mahalakshmi
Published: August 2019

Security of images in transmission medium is most prime issue found in literature. Encryption of images is a way to secure it from unauthorized access. The authors in this chapter insist on the encryption of images via block ciphers. Block ciphers works simultaneously as well as on chunks. In this chapter, an encryption method using improved cipher block chaining is proposed to encrypt RGB color images. For every encryption methodology, key generation process is the most important phase. The authors proposed sub-optimal key generation algorithm and this nature inspired optimization technique reveals complex keys, remains very useful for decision making in dynamic environment. Key generation is crafted as complex with this mathematical model that overcomes the predicament key problem exists in existing methods and upgrades quality of encryption. Results of the proposed algorithm show the efficiency and its resistance against various cryptanalytic attacks.
SEMDPA
Authors: Bytyçi Eliot , Sejdiu Besmir , Avdiu Arten , Ahmedi Lule
Published: August 2019

The Internet of Things (IoT) vision is to connect uniquely identifiable devices that surround us to the Internet, which is best described through ontologies. Thereby, new emerging technologies such as wireless sensor networks (WSN) are recognized as an essential enabling component of the IoT today. Hence, given the increasing interest to provide linked sensor data through the Web either following the Semantic Web Enablement (SWE) standard or the Linked Data approach, there is a need to also explore those data for potential hidden knowledge through data mining techniques utilized by a domain ontology. Following that rationale, a new lightweight IoT architecture SEMDPA has been developed. It supports linking sensors and other devices, as well as people via a single web by mean of a device-person-activity (DPA) crossroad ontology. The architecture is validated by mean of three rich-in-semantic services: contextual data mining over WSN, semantic WSN web enablement, and Linked WSN data. SEMDPA could be easily extensible to capture semantics of input sensor data from other domains as well.
Hierarchal Fuzzy Logic Controller and Internet of Things (IoT) Information
Authors: Ramadan Rabie A. , Altamimi Ahmed B.
Published: August 2019

With the advances of networks and sensing technologies, it is possible to benefit from the surrounding environment's data in enhancing peoples' life. Currently, we have different types of networks such as Wireless Sensor Networks (WSNs), Vehicle Ad Hoc Networks (VANETs), Cellular Networks (CNs), and Social Networks (SNs) along with underlying computing such as Cloud computing. These types of networks provide huge data about the surrounding environments including weather information, peoples' relations, peoples' interest, and location information. This paper examines the suitability of hierarchal fuzzy logic controller in classifying the IoT data. The paper also tries to answer “if-else “questions about the effect of each of the input parameters. The authors' test case in this paper is related to the disease spreading prediction problem. This test case is highly important to the health care organizations. Different case studies are generated to examine the efficiency of the proposed framework and methodologies.
Converging Technologies for the IoT
Authors: Milovanović Dragorad , Pantović Vladan , Gardašević Gordana
Published: August 2019

The Internet of Things (IoT) is the concept of linking various objects to the Internet that sense/acquire and transmit data in the environment to create a new application. From a standardization perspective, the IoT can be viewed as a global infrastructure, enabling advanced services by interconnecting (physical and virtual) objects based on evolving interoperable information and communication technologies (ICT). The success of the IoT will depend strongly on the existence and effective operation of global standards. The standardization initiative, research projects, national initiatives and industrial activities are outlined in this chapter. There are already many standardization activities related to the IoT, covering broad research areas: wireless and cellular technologies, networking protocols, emerging applications, media-centric IoT. What is needed, therefore, are a harmonization of standards and effective frameworks for large-scale deployment.
Big Data Analysis and Implementation in Different Areas Using IoT
Authors: Rehman Aqeel ur , Fahad Muhammad , Ullah Rafi , Abdullah Faisal
Published: August 2019

This article describes how in IoT, data management is a major issue because of communication among billions of electronic devices, which generate the huge dataset. Due to the unavailability of any standard, data analysis on such a large amount of data is a complex task. There should be a definition of IoT-based data to find out what is available and its applicable solutions. Such a study also directs the need for new techniques to cope up with such challenges. Due to the heterogeneity of connected nodes, different data rates, and formats, it is a huge challenge to deal with such a variety of data. As IoT is providing processing nodes in the form of smart nodes; it is presenting a good platform to support the big data study. In this article, the characteristics of data mining requirements for data mining analysis are highlighted. The associated challenges of facts generation, as well as the plausible suitable platform of such huge data analysis is also underlined. The application of IoT to support big data analysis in healthcare applications is also presented.
The Human-IoT Ecosystem
Authors: Michell Vaughan , Olweny James
Published: August 2019

IoT devices offer a cheap and powerful approach to identifying real world states and situations and acting on this real world environment to change these states and the environment. Augmenting real world things with IoT technology enables the capture of real world context to support decision making and actions in the real world via powerful smart objects in a human- IoT ecosystem. Increasingly we will have to understand the Human-IoT or smart device ecosystem interaction in order to optimise and integrate the design of human and IoT systems. This chapter explores the design and categorisation of IoT devices in terms of their functionality and capability to support context to add to human perception. It then proposes how we can model the context information of both IoT devices and humans in a way that may help progress Human-IoT Ecosystem design using situation theory.
Exploring Secure Computing for the Internet of Things, Internet of Everything, Web of Things, and Hyperconnectivity
Authors: Dawson Maurice
Published: August 2019

Secure computing is essential as environments continue to become intertwined and hyperconnected. As the Internet of Things (IoT), Web of Things (WoT), and the Internet of Everything (IoE) dominate the landscape of technological platforms, protection these complicated networks is important. The everyday person who wishes to have more devices that allow the ability to be connected needs to be aware of what threats they could be potentially exposing themselves to. Additionally, for the unknowing consumer of everyday products needs to be aware of what it means to have sensors, Radio Frequency IDentification (RFID), Bluetooth, and WiFi enabled products. This submission explores how Availability, Integrity, and Confidentiality (AIC) can be applied to IoT, WoT, and IoE with consideration for the application of these architectures in the defense sector.
Cognitive Internet of Everything (CIoE)
Authors: Jamnal Gopal Singh , Liu Xiaodong , Fan Lu , Ramachandran Muthu
Published: August 2019

In today's world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not rely on the users' instructions. The ambient intelligence is a sensational new information technology paradigm in which people are empowered for assisted living through multiple IoTs sensors environment that are aware of inhabitant presence and context and highly sensitive, adaptive and responsive to their needs. A noble ambient intelligent environment are characterized by their ubiquity, transparency and intelligence which seamlessly integrated into the background and invisible to surrounded users/inhabitant. Cognitive IoE (Internet of Everything) is a new type of pervasive computing. As the ambient smart home is into research only from a couple of years, many research outcomes are lacking potentials in ambient intelligence and need to be more dug around for better outcomes. As a result, an effective architecture of CIoE for ambient intelligent space is missing in other researcher's work. An unsupervised and supervised methods of machine learning can be applied in order to classify the varied and complex user activities. In the first step, by using fuzzy set theory, the input dataset value can be fuzzified to obtain degree of membership for context from the physical layer. In the second step, using K-pattern clustering algorithms to discover pattern clusters and make dynamic rules based on identified patterns. This chapter provides an overview, critical evaluation of approaches and research directions to CIoE.
Intrusion Prevention System
Authors: Panda Bijaya Kumar , Pradhan Manoranjan , Pradhan Sateesh Kumar
Published: August 2019

In the last decade, there is a rapid growth in the use of Internet by the organization for information sharing. As information is very vital to the organizations, it should be preserved and insulated from any unauthorized access or alternation. In last few years, attacks on the computer infrastructures have increased exponentially. Several information security techniques are available now a days like firewalls, anti-virus software and Intrusion prevention systems (IPSs), which are important tools for protecting an organization from intrusions. Now most attacks are impossible to defend with firewalls and anti-virus software alone. Without an IPS, such attacks are difficult to detect and prevent. This chapter presents different definitions of intrusion prevention system with meaningful explanation; compare network IPS with Host IPS, common and the advanced detection methods, common IPS components, coverage of attacks by IPS and criteria to select right IPS. Finally, this chapter concludes with an analysis of the challenges that still remain to be resolved.
Hybrid Intrusion Detection Framework for Ad Hoc Networks
Authors: Korba Abdelaziz Amara , Nafaa Mehdi , Ghanemi Salim
Published: August 2019

In this paper, a cluster-based hybrid security framework called HSFA for ad hoc networks is proposed and evaluated. The proposed security framework combines both specification and anomaly detection techniques to efficiently detect and prevent wide range of routing attacks. In the proposed hierarchical architecture, cluster nodes run a host specification-based intrusion detection system to detect specification violations attacks such as fabrication, replay, etc. While the cluster heads run an anomaly-based intrusion detection system to detect wormhole and rushing attacks. The proposed specification-based detection approach relies on a set of specifications automatically generated, while anomaly-detection uses statistical techniques. The proposed security framework provides an adaptive response against attacks to prevent damage to the network. The security framework is evaluated by simulation in presence of malicious nodes that can launch different attacks. Simulation results show that the proposed hybrid security framework performs significantly better than other existing mechanisms.
IoT for Hospitality Industry
Authors: Yuksel Asim Sinan , Cankaya Ibrahim Arda , Cankaya Sadi Fuat
Published: August 2019

Creating and updating meal tags, printing them on small-sized papers raise the costs, cause workload and affect the service quality negatively at the hotels with all-you-can-eat buffet system. Over the last few years, we have seen that many hotels started to make use of tablets to improve the service quality, decrease the costs, provide customers ability to order foods, make reservations, manage their rooms, etc. Going paperless and including more features by adopting new technologies increase the quality of service, help customer's and staff's decision-making processes more effective, improve customer and service personnel experience. In this chapter, authors designed and developed a flexible, cost effective, easy-to-use, customer-friendly and staff oriented paperless buffet management system for the restaurants that have all-you-can-eat buffet. Through this system, they aimed to achieve enhanced customer service, increased efficiency and customer satisfaction; save time, paper and printing costs; provide environmental benefits and efficient buffet management.
From Ubiquitous Computing to the Internet of Things
Authors: Radenkovic Bozidar , Kocovic Petar
Published: August 2019

The Internet that most of us knows as the World Wide Web is expanding beyond PCs and mobile devices. Called the “Internet of things”, this movement will link consumer devices, enterprise assets, media and everyday items, such as packaged goods, to the Internet at an increasing rate. Why the push? New business models and new ways of interacting with customers, employees and suppliers are possible when physical items are linked to the Internet. In theory, the Internet of things will make it possible for a connected refrigerator to automatically order milk. However, history has shown that, even though a technology can be transformational, it takes a series of many small evolutions before the consumer and business world are ready for transformational models like this. We believe that, at first, the sweet spot for the Internet of things will be to use it in simple ways that extend or enhance an existing process. For example, a washing machine that has a 2D bar code can enable a smartphone user to view the instruction manual, or a service person to view the service history and parts list. In contrast, using the Internet of things technologies to make a washing machine that can auto-detect clothes by reading the RFID tags on the garments' labels, and consequently run at the right settings, is less likely to gain adoption.
Actors in the Emerging Internet of Things Ecosystems
Authors: Leminen Seppo , Rajahonka Mervi , Westerlund Mika
Published: August 2019

This study investigates actors in the ecosystems of the Internet of Things (IoT). Previous research suggests that unstructured ecosystems make one of the greatest challenges for creating business models for the IoT. The present study concludes four contributions. First, the study reviews literature to develop a framework for role mechanisms in ecosystems and applies the framework to analyse data from fifteen interviews in six cases. Second, it identifies four diverse actor roles in IoT ecosystems: butterfly, ant and greenfly, spider, and the swarm of bees. Third, the study shows how actors take and make different roles in four emerging IoT ecosystems; product-, company-, industry-, and peer to peer ecosystems, which are structured in accordance with the identified actors' role behavior. Fourth, it suggests a new role pattern, role replication, where companies replicate their value designs and networks to other contexts.
Open Source Software in the Arab World
Authors: Abu Talib Manar
Published: August 2019

A literature survey study was conducted to explore the state-of-the-art of Open Source Software and the opportunities and challenges faced by this segment of the software industry in seven Arab countries — Tunisia, Egypt, Jordan, KSA, Qatar, Oman and UAE. A framework and road map for OSS is presented derived from interviews conducted in the UAE with at least four experts from each of the following categories: governments and ministries, IT companies, universities and IT enthusiasts. This is the first study of its kind in this part of the world and is expected to make a significant contribution to the direction for Open Source Software in the region and beyond.
The Internet of Things and Beyond
Authors: Tatnall Arthur , Davey Bill
Published: August 2019

In the past, it was rare for non-humans to interact with each other without any involvement by humans, but this is changing. The Internet of Things (IoT) involves connections of physical things to the Internet. It is largely about the relationships between things, or non-humans actors. In other cases the ‘Things' seem to have inordinate power. The authors will ask: where does this leave humans? Are the things taking over? As a consideration of interactions like this must be a socio-technical one, in this article the authors will make use of Actor-Network Theory to frame the discussion. While the original applications for IoT technology were in areas such as supply chain management and logistics, now many more examples can be found ranging from control of home appliances to healthcare. It is expected that the ‘Things' will become active participants in business, information and social processes and that they will communicate among themselves by exchanging data sensed from the environment, while reacting autonomously. The Things will continue to develop identities and virtual personalities. In the past non-human actors have needed humans to interact with each other, but this is not the case anymore. In this perhaps provocative and rather speculative article we will look not just at the Internet of Things, but other related concepts such as artificial intelligence and robotics and make use of scenarios from science fiction to investigate the Rise of the Non-Human Actors and where this may lead in the future.
Advancing Personal Learning Using the Internet of Things
Authors: Truman Barbara , Truman Jaclyn M.
Published: August 2019

Personal learning is a unique ability and requires self-determination to master. Personal learning also involves constructing representational learning artifacts that are used across life into work and society. Using avatars to foster identity within collaborative virtual environments (CVEs) can represent expressions of selfhood useful for participating in diverse communities. The Internet of Things (IoT) provides a spectrum of emerging technologies that can connect physical and virtual world activities resulting in new realms of human-computer abilities. Interconnected smart devices automate services and provide timely information resulting in safety, security, and efficiencies, especially for vulnerable populations such as persons with disabilities. The relationship is explored when IoT applications are combined with use of CVEs, avatars, and a discipline of presencing. Inclusivity becomes probable. Future research is described how individuals, organizations, and communities can be impacted by personal learning influenced by the inevitable growth of IoT and virtual learning.
Intercloud
Authors: Costan Alexandru Aurel , Iancu Bogdan , Rasa Petru Cosmin , Radu Alexandru , Peculea Adrian , Dadarlat Vasile Teodor
Published: August 2019

Cloud computing is considered the next step in the evolution of technological applications, services and products development, in the Future Internet and Internet of Things context. The permanent connection of users to the Internet has become widespread, so almost all available resources (data, software) can be placed on the Internet, shared between users - sometimes completely independently of others, and brought from the Internet to the user's computer on demand. The chapter highlights the benefits of using hybrid technology with a focus towards entrepreneurs and business innovators. Intercloud systems are built of heterogeneous services, offered by different providers of cloud computing. To emphasize the business opportunities offered by innovative Intercloud approaches, an architecture for the interconnection of cloud services offered by multiple cloud providers, with applications to e-health, is presented. The main concepts and business benefits of using Intercloud systems and an architecture for interconnecting cloud services from multiple cloud providers is described.
Just Eat!
Authors: Dickens Kristen N.
Published: August 2019

This chapter explores the application of the 2015 Multicultural and Social Justice Counseling Competencies (MSJCC) in conjunction with an eclectic family systems when counseling a Latin@ family. The Martinez family was referred to family counseling due to concerns of one of the children's school counselors, regarding a possible eating disorder diagnosis. The case study includes a rich description of the first session with the Mexican-American Martinez family, and examines family dynamics around the identified client, Javier. The Martinez family includes the following members: (1) Mañuel, Javier's 41 year-old father who owns his own construction business; (2) Camila, Javier's 38 year-old stay-at-home mother; (3) Alejandro, Javier's 17-year-old brother; and (4) Isabella, Javier's 12 year-old sister. A discussion of the author's cultural background, counseling approach, and use of the MSJCC lens when working with the Martinez family is also included. Initial goals and prognosis for treatment are considered.