RSSI Vector Attack Detection Method for Wireless Sensor Networks

摘要：

In contrast to traditional networks, Wireless Sensor networks (WSN) are more vulnerable to attacks such as DOS, eavesdropping, tampering, node compromise, wormhole and Sibyl. To give security protection for WSN, many attack prevention and detection methods were proposed. As the second line of defence, Intrusion Detection can resist attacks under cryptography technologies are unavailable, and provide strategies for network recovery. This paper proposed a novel attack detection based on RSSI technology. It collects multi-observed RSSI values to form vectors, and uses mean vector confidential interval examination of multivariate normal population to detect malicious packets. Real experiments showed that vector-based detection approach have a better detection sensitivity and fault tolerance than single value detection approach.

关键词： Attack Detection RSSI Vector WSN Security

作者: Yan Guoqiang Duan Weijun Ma Chao Huang Liang

作者单位: School of Electronics Northwestern Polytechnical University Xian, China

会议类型: 国际会议

会议名称: 2011 IEEE 3rd International Conference on Communication Software and Networks(2011第三届通信软件与网络国际会议 ICCSN2011)

会议地点: 西安

会议语种:英文

页码: 229-232

在线出版日期: 2011-05-27（万方平台首次上网日期，不代表论文的发表时间）