Detecting Malicious Nodes in Wireless Sensor Networks

Abstract

A typical wireless sensor network consists of several tiny and low-power sensors which use radio frequencies to perform distributed sensing tasks. Wireless sensor networks are used to detect the occurrence of events such as fires, intruders, or heart attacks, malicious data can be injected to create fake events, and thus trigger an undesired response, or to mask the occurrence of actual events. In this project we consider directly the scenario where an attacker gains full control of one or more sensors and can run arbitrary malware on them to fabricate new measurements and report them in place of the observed ones. Our base work only concentrated on the malicious data injection, we enhanced our base work with detecting the sink hole attack and avoiding the sink hole node to transfer the data.