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black hole and Sink hole attack Detection in Wireless Body Area Networks

Computers, Materials & Continua 2021年第8期68卷 1949-1965页

作者： Rajesh Kumar Dhanaraj Lalitha Krishnasamy Oana Geman Diana Roxana Izdrui School of Computing Science and Engineering Galgotias University201310India Department of Information Technology Kongu Engineering CollegeErode638060India Department of Health and Human Development Stefan cel Mare UniversityRomania Department of Computers Electronics and AutomationStefan cel Mare UniversityRomania

In Wireless Body Area Networks(WBANs)with respect to health care,sensors are positioned inside the body of an individual to transfer sensed data to a central station *** great challenges posed to healthcare WBANs are the black hole and sink hole *** from deployed sensor nodes are attracted by sink hole or black hole nodes while grabbing the shortest *** this issue is quite a challenging task as a small variation in medicine intake may result in a severe *** work proposes a hybrid detection framework for attacks by applying a Proportional Coinciding Score(PCS)and an MK-Means algorithm,which is a well-known machine learning technique used to raise attack detection accuracy and decrease computational difficulties while giving treatments for heartache and respiratory ***,the gathered training data feature count is reduced through data pre-processing in the ***,the pre-processed features are sent to the MK-Means algorithm for training the data and promoting ***,certain attack detection measures given by the intrusion detection system,such as the number of data packages trans-received,are identified by the MK-Means *** study demonstrates that the MK-Means framework yields a high detection accuracy with a low packet loss rate,low communication overhead,and reduced end-to-end delay in the network and improves the accuracy of biomedical data.

关键词： Wireless body area network black hole attack sink hole attack proportional coinciding score intrusion detection correlation rate

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Secure and Reliable Routing in the Internet of Vehicles Network:AODV-RL with BHA attack Defense

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 633-659页

作者： Nadeem Ahmed Khalid Mohammadani Ali Kashif Bashir Marwan Omar Angel Jones Fayaz Hassan School of Electronic Science Beijing University of Post and TelecommunicationBeijing100086China Department of Computer Science Huanggang Normal UniversityHuanggangChina Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUK Woxsen School of Business Woxsen UniversityHyderabad502345India Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Information Technology and Management Illinois Institute of TechnologyChicagoUSA College of Computing Capital Technology UniversityLaurelUSA

Wireless technology is transforming the future of transportation through the development of the Internet of Vehicles(IoV).However,intricate security challenges are intertwinedwith technological progress:Vehicular ad hoc Networks(VANETs),a core component of IoV,face security issues,particularly the black hole attack(BHA).This malicious attack disrupts the seamless flow of data and threatens the network’s overall reliability;also,BHA strategically disrupts communication pathways by dropping data packets from legitimate nodes *** the importance of this challenge,we have introduced a new solution called ad hoc On-Demand Distance Vector-Reputation-based mechanism Local Outlier Factor(AODV-RL).The significance of AODVRL lies in its unique approach:it verifies and confirms the trustworthiness of network components,providing robust protection against *** additional safety layer is established by implementing the Local Outlier Factor(LOF),which detects and addresses abnormal network *** testing of our solution has revealed its remarkable ability to enhance communication in ***,Our experimental results achieve message delivery ratios of up to 94.25%andminimal packet loss ratios of just 0.297%.Based on our experimental results,the proposedmechanismsignificantly improves VANET communication reliability and *** results promise a more secure and dependable future for IoV,capable of transforming transportation safety and efficiency.

关键词： black hole attack IoV vehicular ad hoc network AODV routing protocol

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SCADA Framework Incorporating MANET and IDP for Cyber Security of Residential Microgrid Communication Network

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Smart Grid and Renewable Energy 2016年第3期7卷 104-112页

作者： Goutham K. Chalamasetty Paras Mandal Tzu-Liang (Bill) Tseng Department of Electrical and Computer Engineering The University of Texas at El Paso El Paso TX USA Department of Industrial Manufacturing and Systems Engineering The University of Texas at El Paso El Paso TX USA

This paper presents a reliable and secure supervisory control and data acquisition (SCADA) system equipped with advanced communication technologies (ACT) to enhance the operation and cyber security of the communication network in residential microgrid. The proposed approach uses the mobile ad hoc networks (MANET) for collecting data of power consumption from smart meters of residential areas and electric vehicles (EVs), and also for connecting mobile system operators to the network. Moreover, by understanding the dynamic nature of MANET and their exposure to cyber-attacks, we propose an intrusion detection and prevention (IDP) technology with secure knowledge algorithm and anomaly detection for preventing the black hole attacks, and other unknown attacks that result into packet dropping. Test results obtained by using Network Simulator (NS-2) demonstrate the effectiveness of the proposed IDP technology in preventing the cyber-attacks in the proposed residential microgrid communication network.

关键词： ACT black hole attack Cyber Security MANET Residential Microgrid SCADA

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