A Cellular Intrusion Detection Framework for Packet Dropping Attacks in Wireless Sensor Networks
Wireless sensor networks (WSNs) are vulnerable to a variety of malicious attacks, especially the packet dropping attack, making security an important research field. Since prevention based techniques are less helpful for guarding against inside attacks, intrusion detection (ID) techniques are indispensable to provide advanced protection. This paper proposes an innovative cellular ID framework for packet dropping attack, which takes the deployment of passive listening nodes into consideration. Performance evaluation made in VisualSense demonstrates its high detection accuracy.
cellular packet dropping attack intrusion detection wireless sensor etwork VisualSense
Tong xin Chen lan Li ying
Common Technology Research Department of Institute of Microelectronics of Chinese Academy of Sciences, Beijing, China
国际会议
三亚
英文
441-445
2012-01-06(万方平台首次上网日期,不代表论文的发表时间)