Enhanced Differentiated Surveillance for Static and Random Mobile Sensor Networks

Wireless integrated sensor networks, which include collecting, processing data and communication, are used more and more widely for its low cost and convenient deployment. Nowadays the researches of sensor networks are fairly active. The security is one of the key questions in sensor networks. Intrusion detection is a kind of network security technologies used to detect any behavior that will damage or attempt to damage system confidentiality, integrality or availability, and it can provide the reasonable supplement to intrusion prevention mechanism, and construct a second wall of defense for network and system.  This paper mainly focuses on the energy efficient intrusion detection technology. According to the characteristics of sensor network and the specialty of the invasions in sensor network, this paper presents an intrusion detection model based on statistics anomaly in sensor networks. The algorithm establishes models for the normal state of the nodes, and makes decisions through the deviation degree of observed value. The algorithm is fault-tolerant for non-invasion anomaly when the communication between nodes break down or the accident wrongly create anomaly.