Reviewerly/exHarmony huggingface dataset:
Robust Secret Share to Reinforce the Security of IBE’s Master Key

Organizations are deploying different cryptosystems to protect their sensitive data, especially those outsourced to a cloud provider. Key Management System is in the heart of those solutions, its failure may lead to vulnerabilities and sensitive data exposure. Bentajer et al. proposed a system based on ID-based cryptography, which encrypt data before outsourcing it to a third party cloud storage provider. The solution enhances data confidentiality and enables secure deletion since data are stored in an encrypted manner. However the security of the private key generator related to ID-based cryptography was not well addressed. In this paper, we present an enhancement to the proposed system by strengthening the security of its key management system. For this purpose, we use Shamir secret share to securely store and manage the secret key. Furthermore, we implemented a prototype of the proposed system to study its practicability. The conducted analysis has demonstrated that it offers a significant value-added of security with a negligible overhead amount of computing time.
PSYCHOLOGICAL REQUIREMENTS TO THE PERSONALITY OF A PEDAGOGUE

The article presents the psychological characteristics of the personality of teachers with different length of experience, which can be the leading indicators of ensuring the productivity of their professional activities. The study tries to conduct a comparative analysis of a number of specific personal factors of teachers with various teaching backgrounds and to identify and interpret the characteristics of their manifestation.
Business of Hacking - Buyer Beware of Cybercrime Insurance

Business of Hacking is thriving through the world. For Cyber criminals, it is easy with the advanced technologies. They need not move out. It is far far less risky compared to normal crime. Chances of implicating a cyber criminal in court of law is very remote. Bank robbery by hacking personal bank accounts of bank customers and extortion of money from concerned organisations in exchange of breached Data are the rule now. To mitigate cyber risks, cyber security measures should be in place. In addition, Cyber risk Insurance policy should be purchased. Cyber insurance is relatively new product for the insurance companies. Since much Data history of such type of insurance is not in place, customizing a cyber-insurance is painstaking and need collective consultations of brokers, consultants, IT team, finance and treasury professionals. If wrong cyber insurance policy is chosen, it will backfire causing loss of money in millions to the concerned entity.
Innovative Teaching Methods in the Electronic Environment

In this article we will look at what innovative methods can be used in view of e-learning. In the last two and a half years, education changeд completely, both in Bulgaria and in the world. This is because of the global pandemic that humanity is struggling with. All teachers, students and people in the educational environment have fundamentally changed the way they work. The main goal is to receive quality education.
Entanglement of Photonic Angular Qudits

We report a scheme to generate maximally entangled states in D -dimensional quantum systems using angular diffraction masks containing N=D 1/2 angular slits in the arms of correlated twin photons produced by Spontaneous Parametric Down Conversion (SPDC).
Cryptocurrency in India: Government’s Stand and Legal Status

Cryptocurrencies are gaining wider acceptance year after year all over the world as evident from the perennial increase in the volume of trade. But they are associated with high degree of risks including greater volatility in the prices besides the absence of government support. However, there is no comprehensive law in India to regulate the crypto-trading and to ensure that illegal activities are not funded with crypto-related activities. Therefore, it is necessary for the Government to enact a comprehensive law at the earliest.
Enterprise’s Credit Information Sharing Model Based on Consortium Blockchain

Due to the wide range of data sources and rich varieties of market-oriented credit reporting agencies, but the existence of competition among enterprises, the current credit reporting data among Chinese enterprises has not been able to form effective information sharing. The characteristics of block chain such as non-tampering, transparency, and data traceability provide audit and supervision basis for shared information. Based on the characteristic requirements of the enterprise credit investigation alliance chain network, a hierarchical network topology structure based on industry grouping is used to construct the credit investigation alliance chain. At the same time, in order to effectively reduce the communication complexity of the consensus process of the entire network, a hierarchical consensus mechanism based on the local and global integration of node credit is adopted.
Graph Drawing Contest Report

This report describes the 28th Annual Graph Drawing Contest, held in conjunction with the 29th International Symposium on Graph Drawing and Network Visualization (GD’21) in Tübingen, Germany. Due to the global COVID-19 pandemic, the conference and thus also the contest was held in a hybrid format, with both on-site and online participants. The mission of the Graph Drawing Contest is to monitor and challenge the current state of the art in graph-drawing technology.
A Study on Security Analysis of the Unlinkability in Tor

Tor is an important tool for anonymous communication. However, due to its popularity, Tor is also concerned by censors or other malicious attackers. A large body of existing work examines Tor's susceptibility to flow correlation attacks, which are a form of deanonymization attack. Currently, a variety of traffic obfuscation plugs are deployed on Tor to defeat flow correlation attacks. However, whether plug-based defense can effectively resist those attacks has not been tested and verified. This paper focuses on how to effectively defeat the threat of flow correlation attacks on Tor. We first conduct experiments to illustrate the actual defense effect of obfuscation plugs against flow correlation attacks, and the results show their effectiveness. However, the obfuscation-based defense also faces many other problems such as censorship. So we explore the techniques used in differential privacy ( <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$FPA_{k}$</tex> and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$d^{\ast}$</tex> -private) to apply a tiny perturbation on Tor traffic. Our findings on differential privacy suggest that the perturbations generated by the two mechanisms can successfully flaw the existing flow correlation attacks on Tor.
Design of Colleges and Universities Mechanical Simulation System Based on Computer VR

Abstract With the rapid development of network technology, the traditional teaching methods can not adapt to the teaching objectives of colleges. VR has become a basic teaching tool in Colleges, which can help teachers complete teaching. At the same time, VR can improve students’ interest in learning, which can help students explore more subject knowledge. Mechanical specialty is an important subject, which requires simulation and other learning. At present, there are many kinds of software in the world, which can carry out mechanical simulation, such as SolidWorks, 3DMAX, flash and so on. Through the relevant software, colleges can design the mechanical simulation system, which can help to set up the whole process resource library in a certain field. Through the resource library, colleges can help to complete the three-dimensional entity display of equipment, which can be displayed in an all-round way. Through VR, we can help students understand the real work scene, which can help improve the students’ mechanical design ability. At the same time, through computer VR, colleges can help students learn more about the working scene of mechanical design. Firstly, this paper analyzes the importance of mechanical simulation system design. Then, this paper designs the related system content. Finally, some suggestions are put forward.
Universelle Referenzarchitektur für eine sichere cloudbasierte Automation

In the first of a series of articles, we introduce the term “Symbiotic Security” to denote an ideal architecture where all essential components (e.g. hardware, software or networks) contribute to raising the architectural security bar. The growing importance of cloud computing for secure and resilient automation and its intended independence from hardware to accommodate all platforms have led us to observe a disconnect between well-known cloud service providers and manufacturers of embedded devices or IoT: the unsolved problem of initial enrolment. After elaborating on the root cause of this gulf we present a non-invasiveextension and implementation of a cloud IoT reference architecture for an automated, mutually authenticated and encrypted roll-out of IoT nodes. To also enable automated key management without human intervention, the system refrains from using any static secrets usually employed by the hardware vendors – a longstanding point of criticism. Despite our practical choice of a target platform, the idea itself is uniform across such environments given their inherent similarities.
A System for Machine Translation from English to Ebira using the Rule-based Approach

This research work is aimed at bridging the knowledge gap between the most popular knowledge rich English language and the minority Ebira language spoken by the Ebira people, a minority ethnic group in part of Nigeria. Across the globe and on the internet, English language has become the most widely used language for knowledge dissemination. And presently, the majority of the indigenous people of Ebiral and also known as “Anebira” are still not proficient in their use of English language which as a result prevents them from gaining full knowledge disseminated in English language. Hence, the need to develop an automated Machine Translation System capable of translating English text to Ebira text which will help the people to tap from the abundant knowledge conveyed in English language for effective and fast development in their social, political, scientific, philosophical and economic areas of life. The system was designed to consolidate on human translators’ effort and not to replace them. A comprehensive study and analysis of the two languages was carried out with the help of Ebira native speakers in Ebiraland Kogi central and some professional English language tutors at FCE Okene. The knowledge gathered provided the basis for the design and testing of the rule base, inference engine, bilingual dictionary which are important components for the proposed automated system for translation of English text to Ebira text using PHP. Making use of the word in the bilingual dictionary, the system will successfully translate your English text to Ebira. The system was evaluated using one of the popular automatic method of evaluating MT systems BLEU (Bilingual Evaluation Understudy). And an accuracy of 81.5% in translation was achieved. An improved system in the future is recommended to accommodate more complex sentences for the more benefit of the good people of Enebira.
An Adaptive Statistical Stochastic Deep Gradient Learning for Handling Recurring and Incremental Drifts

Detecting changes in data streams fascinates considerable awareness for many applications and has experienced significant recognition over the past decade. The demanding concern is how to observe and ascertain these changes in order to safeguard during complex drifts such as recurring and incremental drifts, where intermediate changes reappear frequently. These drifts may also be global, and may affect larger amount of data, making drift detection more complicated. For this purpose, a new drift detection method, Adaptive Statistical and Stochastic Deep Gradient Learning (AS-SDGL) is proposed to deal with these complex recurring and incremental drifts. First preprocessing of data is performed by means of a statistical model called Adaptive Seasonal and Trend Statistical Decomposition Drift Monitoring (AS-TSDDM) model that splits the dataset into three elements based on seasonality, trend and residual. Next, the Change Drift Detection-based Stochastic Deep Gradient Learning (CDD-SDGL) model is applied to the preprocessed data. This model monitors the learner performance by means of a deep neural network via a Change Detection test and Stochastic Gradient Descent Learning. The proposed AS-SDGL method has been tested through multiple streams of data collected from weather dataset presenting different types of complex drift. Simulations are conducted and compared with the similar methods and observe the performance by means of classification accuracy, detection delay and false alarm rate.
Fracture imaging using DAS-recorded microseismic events

Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Geophysical Research Letters. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v3]Fracture imaging using DAS-recorded microseismic eventsAuthorsFrantisekStanekiDGeJinJames L.SimmonsSee all authors Frantisek StanekiDCorresponding Author• Submitting AuthorColorado School of MinesiDhttps://orcid.org/0000-0002-0037-9239view email addressThe email was not providedcopy email addressGe JinColorado School of Minesview email addressThe email was not providedcopy email addressJames L. SimmonsColorado School of Minesview email addressThe email was not providedcopy email address
Revealing the power of BERT for text sentiment classification

Text Sentiment Classification (TSC) is an important task in the field of Natural Language Processing (NLP). Previous TSC methods cannot dynamically obtain the semantics of words based on the context, which leads to deviations in the results of TSC. However, the proposal and application of Bidirectional Encoder Representation from Transformers (BERT) has greatly improved the accuracy of TSC tasks. BERT can dynamically perceive contextual information to obtain more accurate classification results. In this paper, we build different BERT-based models and conduct our experiments on the benchmark dataset Internet Movie Database (IMDB). The experimental result shows that even with a simple linear layer, our BERT-based model still improves the F1-score by 2.01% compared with the best performing model in the baselines.
Service Selection in Cloud Computing Environment by Using Cuckoo Search

Cloud computing opens a new dimension and becomes a foundation technology for developing and integrating Web applications offered as cloud services. However, the number of these services is expected to grow in the future, then, it is required for providers to overcome this situation by being able to offer cloud services with several qualities. That is why the cloud services selection is becoming a big challenge. In this paper, we design an optimization approach based on a meta-heuristic by using Cuckoo Search Algorithm (CSA) with a combination with the Lévy flight behavior to solve the optimal service selection optimization problem in the cloud computing environment considering QoS constraints. The proposed algorithm consists of three phases, initialization phase of the initial population then the evaluation of this population and the last phase of the search for relevant services using Lévy flight. A simulation design demonstrates that a strong selection using the CSA can be achieved in the cloud environment.
Contact Tracing Applications Against COVID-19: A Systematic Review (Preprint)

<sec> <title>BACKGROUND</title> The novel coronavirus 2019 (COVID-19) pandemic has triggered public anxiety around the world. So far, the evidence suggests that prevention on a public scale is the most effective health measure for thwarting the progress of COVID-19. Another critical aspect of preventing COVID-19 is contact tracing. </sec> <sec> <title>OBJECTIVE</title> We aimed to investigate the effectiveness of contact tracing applications currently available in the context of the COVID-19 pandemic. </sec> <sec> <title>METHODS</title> We undertook a systematic review and narrative synthesis of all literature relating to contact tracing applications in the context of COVID-19. We searched 3 major scientific databases. Only articles that were published in English and were available as full-text articles were selected for review. Data were extracted and narrative syntheses conducted. </sec> <sec> <title>RESULTS</title> Five studies relating to COVID-19 were included in the review. Our results suggest that digitalized contact tracing methods can be beneficial for impeding the progress of COVID-19. Three key themes were generated from this systematic review. First, the critical mass of application adoption must be attained at the population level before the sensitivity and positive predictive value of the solution can be increased. Second, usability factors such as access, ease of use and the elimination of barriers are essential in driving this uptake. Third, privacy must be ensured where possible as it is the single most significant barrier against achieving critical mass. </sec> <sec> <title>CONCLUSIONS</title> The COVID-19 pandemic has claimed more than 2 million lives globally, with over 100 million confirmed cases. Contact tracing can rapidly identify potentially infected individuals before the emergence of severe or critical symptoms, and it can also prevent the subsequent transmission of disease from secondary cases when implemented efficiently. Contact tracing methods have proved to be beneficial for impeding the progress of COVID-19 as compared to older, more labor intensive manual methods. </sec>
Pedagogical Conditions for Improving The Research Activities of Future Primary School Teachers

This article shows how to improve the research activities of future primary school teachers in the country, the organization of future primary school teachers using information technology in the educational process. In this case, we have been shown in various reports and documents that the future primary school teachers should have a subjective assessment of the situation themselves, rather than official data.
Strategies in Learning English Vocabulary Among Twelfth Graders in Xuan Dinh High School

ABSTRACT Vocabulary learning is an immense journey which leaves its trademarks in all of the four skills. It places an upheaval importance in every EFL learner’s process of acquiring it. The aim of this study was to identify the vocabulary learning strategies in terms of frequency patterns and the differences between Social Science and Natural Science students. 151 Xuan Dinh non-majoring in English students participated in the research. The study utilized quantitative method with questionnaires as the representative. Descriptive statistics, including means and standard deviations and response percentages were analyzed to compile the responses to the discovery and consolidation strategies. The findings reveal that consolidation sub-group’s cognitive and discovery sub-group’s determination were more widely used among students than other strategies and Social Science students tended to use discovery group more than Natural Science pupils. Based on the findings of the study, understanding students’ strategy use may enable EFL teachers to incorporate vocabulary learning strategy training in English lessons in Xuan Dinh high school and improve students’ vocabulary learning strategies in accordance to their majors. Keywords: Vocabulary learning strategies; EFL learners; frequency; Xuan Dinh high school
A Training Web Platform to Improve Cognitive Skills for Phishing Attacks Detection

Attackers adapt their attacks to be more effective based on exploiting technical and human vulnerabilities. Social engineering attacks take advantage of human vulnerabilities considering that psychological factors could extend these vulnerabilities due to anxiety, stress, or high credibility. The development of technological solutions must be accompanied by training for people. However, training should not focus only on showing the technical details. In addition, it should consider strengthening the cognitive processes used in decision-making processes. This work aims to propose a methodology and architecture to develop a phishing training Web platform based on cognitive processes.
<i>Visualization and Interpretation</i> by Johanna Drucker (Book Review)

January 02 2022 Visualization and Interpretation by Johanna Drucker (Book Review) Visualization and Interpretation by JohannaDrucker (Cambridge: MIT Press, 2020), ISBN 9780262044738 (Hardcover), 195 pages, illustrated and index ($30.00) (Book Review) Wesley Goatley Wesley Goatley Wesley Goatley is a sound artist and researcher based in London, UK. His critical practice examines the aesthetics and politics of data, machine learning, and voice recognition technologies and the power they have in shaping the world and our understanding of it. His work is exhibited and performed internationally, including venues such as Eyebeam in New York, Berghain in Berlin, the Nam June Paik Art Center in Seoul, and the Victoria and Albert Museum in London. Search for other works by this author on: This Site Google Scholar Author and Article Information Wesley Goatley Wesley Goatley is a sound artist and researcher based in London, UK. His critical practice examines the aesthetics and politics of data, machine learning, and voice recognition technologies and the power they have in shaping the world and our understanding of it. His work is exhibited and performed internationally, including venues such as Eyebeam in New York, Berghain in Berlin, the Nam June Paik Art Center in Seoul, and the Victoria and Albert Museum in London. Online Issn: 1531-4790 Print Issn: 0747-9360 © 2022 Massachusetts Institute of Technology2022Massachusetts Institute of Technology Design Issues (2022) 38 (1): 92–93. https://doi.org/10.1162/desi_r_00673 Cite Icon Cite Permissions Share Icon Share Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Wesley Goatley; Visualization and Interpretation by Johanna Drucker (Book Review). Design Issues 2022; 38 (1): 92–93. doi: https://doi.org/10.1162/desi_r_00673 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsDesign Issues Search Advanced Search This content is only available as a PDF. © 2022 Massachusetts Institute of Technology2022Massachusetts Institute of Technology Article PDF first page preview Close Modal You do not currently have access to this content.
ANALYSIS OF THE AWARENESS OF MODERN STUDENTS ABOUT THE LIFE AND WORK OF M.V. LOMONOSOV

The article presents the results of a survey of students of a higher educational institution, conducted in order to establish factual knowledge about the life and work of the founder of Russian science M.V. Lomonosov. The study is dedicated to the 310th anniversary of the birth of M.V. Lomonosov.
Inspiring Unexpected Results: A Leadership Lesson

This article discusses how leadership skills can be employed to inspire project team members to overachieve with unexpected results. The team voluntarily worked overtime, proactively anticipated customer's needs, and actively mitigated project risks. Integrity is a leadership currency for which you are guaranteed to yield marvels.
Using the Navigation View

Only the simplest apps consist of a single screen such as the Calculator app. However, most apps usually need two or more screens to display information. In SwiftUI, you can define each screen of your app’s user interface by creating a separate structure. Then you need to provide a way to jump from one screen to another.