Grey Hole Attack Detection and Prevention Methods in Wireless Sensor Networks

作     者：Gowdham Chinnaraju S.Nithyanandam 

作者机构：Department of Computer Science and EngineeringPRIST Deemed to be University613403India 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2022年第42卷第7期

页      面：373-386页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：The authors received no specific funding for this study 

主　　题：Grey-Hole Attack WSN detection prevention reduction network performance 

摘      要：Wireless Sensor Networks(WSNs)gained wide attention in the past decade,thanks to its attractive features likeflexibility,monitoring capability,and *** overcomes the crucial problems experienced in network man-agement and facilitates the development of diverse network *** existence of dynamic and adaptive routing features facilitate the quick formation of such ***flexible architecture also makes it highly vulnerable to dif-ferent sorts of attacks,for instance,Denial of Service(DoS).Grey Hole Attack(GHA)is the most crucial attack types since it creates a heavy impact upon the components of WSN and eventually degrades the performance of *** cur-rent study,a simple attack detection,prevention and reduction approach is *** is to secure the WSN from GHA and other such attacks by warning and blocking the malicious suspensions and by examining the storage *** of blocking the entire host,the presented approach specifically elim-inates the malicious ***,in case of no malicious traffic detection,the host gets *** current study,the researchers simulated the model under MATLAB environment and the outcomes showed an enhanced performance and increased utilization of Central Processing Unit(CPU)and packet delivery ratio.