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Grey Hole Attack Detection and Prevention Methods in Wireless Sensor Networks
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作者 Gowdham Chinnaraju S.Nithyanandam 《Computer Systems Science & Engineering》 SCIE EI 2022年第7期373-386,共14页
Wireless Sensor Networks(WSNs)gained wide attention in the past decade,thanks to its attractive features likeflexibility,monitoring capability,and scalability.It overcomes the crucial problems experienced in network ma... Wireless Sensor Networks(WSNs)gained wide attention in the past decade,thanks to its attractive features likeflexibility,monitoring capability,and scalability.It overcomes the crucial problems experienced in network man-agement and facilitates the development of diverse network architectures.The existence of dynamic and adaptive routing features facilitate the quick formation of such networks.Butflexible 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 network.In cur-rent study,a simple attack detection,prevention and reduction approach is pro-posed.This is to secure the WSN from GHA and other such attacks by warning and blocking the malicious suspensions and by examining the storage table.Instead of blocking the entire host,the presented approach specifically elim-inates the malicious nodes.Further,in case of no malicious traffic detection,the host gets unblocked.In 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. 展开更多
关键词 grey-hole Attack WSN detection PREVENTION REDUCTION network performance
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