Query: "U. Hariharan"

title: The Importance of Fog Computing for Healthcare 4.0 Based IoT Solutions

title: Implementation of EAODV Based SON for Balanced Energy Efficient Routing Using Tree for WSN

title: Impact of IoT Enabled Smart Cities: A Systematic Review and Challenges

title: Background and Research Challenges for Blockchain Driven 5G IoT Enabled Industrial Automation

title: Smart Wearable Devices for Remote Patient Monitoring in Healthcare 4.0

title: Security Vulnerabilities and Intelligent Solutions for IoMT Systems
abstract: The Internet of Medical Things (IoMT) is one the most practical and useful applications of the Internet of Things (IoT) achieved by connecting medical devices and applications to the online healthcare system IoMT, if fully and properly implemented, in our healthcare systems can save precious lives and can be a boon to healthcare professionals, especially when addressing challenges caused by pandemics such as COVID 19 and other communicable diseases In an IoMT, machine to machine connectivity is possible through short range communication devices such as Bluetooth or long range communications (using 5G communication) However security and privacy remain a major challenge faced by IoMT developers and stakeholders Transmission of critical medical information to the cloud computing setup wirelessly without addressing security issues introduces the risk of hacking and data corruption It is paramount that the potential security issues are identified and appropriate security measures are implemented This chapter discussed the various security vulnerabilities that have been identified by researchers and also highlights innovative solutions that have been proposed by researchers Various solutions such as malware detection, usage of multimodal feature based biometric identification schemes, ontology based recommendation tool for addressing various IoMT threat scenarios, and blockchain enabled authentication techniques are some of the approaches that are discussed and summarized in this chapter (c) 2021, The Author(s) under exclusive license to Springer Nature Switzerland AG

title: WBAN for e Healthcare Application: Systematic Review, Challenges, and Counter Measures
abstract: The utilization of Wireless Sensor Networks (WSN) inside healthcare applications is developing quickly. Numerous e health applications, such as heart monitors, blood pressure levels, computer monitors, and endoscopic capsule, are being used. To deal with the increasing utilization of sensor engineering inside this specific spot, a new area recognized as Wireless Body Area Networks (WBAN) has emerged. As virtually all equipment and the applications are wirelessly connected to it, privacy and security issues are probably the main aspects of concern. Because immediate participation of people likewise boosts the awareness. Whether or not the information gathered about individuals or maybe people are gotten with the individual's consent or may be lacking it because of the device's demand, misuse or even secrecy issues might limit individuals by benefiting from the complete advantages the product. Individuals might overlook the gadgets protected for everyday use. There might also be potential for severe public unrest because of the worry that these products might be utilized to check and monitor people by federal organizations or any other personal businesses. Within this paper, we talk about the problems and assess with information the issues and the possible measures.

title: Detection of Mischievous Node in Wireless Ad hoc Sensor Networks using HCBS Routing Protocol
abstract: Wireless, each unit can go anyplace with no infrastructure additionally, the info could be taken care of continuously for routing the visitors. The wireless Ad hoc system's receptive problems picked the forwarding attacks, which is dropped by a malicious node to corrupt the system efficiency, subsequently the info integrity visibility. The goal of the issue in the pre existing techniques of Ad hoc networks for malicious node detection can't guarantee traceability on the node and the fairness of node detection. With this paper, the suggested heterogeneous cluster based secure dependent, protected routing system supplies loyalty dependent network that is secure for detection of attacks, including black hole and wormhole brought on by malicious node's existence in wireless Ad hoc community. The simulation effect implies that the suggested framework identifies the malicious nodes efficiently within Ad hoc wireless networks. The malicious node detection effectiveness could attain 96 likewise electricity ingestion additionally 10 much better than the current approach.

title: The Convergence of IoT with Big Data and Cloud Computing

title: Enterprise IoT Modeling: Supervised, Unsupervised, and Reinforcement Learning