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  • 标题:A Novel Intrusion Detection System for Detecting Black Hole Attacks in Wireless Sensor Network using AODV Protocol
  • 本地全文:下载
  • 作者:Umashankar Ghugar ; Jayaram Pradhan ; Monalisa Biswal
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2016
  • 卷号:5
  • 期号:4
  • 页码:645-652
  • 出版社:IJCSN publisher
  • 摘要:Wireless Sensor Networks (WSN) has wideapplication in data gathering and data transmission as perthe user’s requirement and it consist of number of nodes.These nodes have limited battery power, limited resourcesand limited computational power .Due to all these factors,WSN faces more security threats. Security issues are a vitalproblem to be solved in Wireless Sensor networks (WSNs).Different types of intrusion detection systems (IDS) aredeveloped to make WSN more secure. In this paper theproposed IDS are based on watchdog monitoring techniqueand are able to detect Black Hole attacks using AODV (Ad-Hoc On-Demand Distance Vector) Protocol. Besides, thebetterment that makes watchdog monitoring technique morereliable are described and the results of simulations of theIDS on NS-2 simulator are presented
  • 关键词:AODV; RREQ; RREP; IDS; PDR; DSR
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