A Novel Framework for Abnormal Behaviour Identification and Detection for Wireless Sensor Networks

Despite extensive study on wireless sensor network security, defending internal attacks and finding ab normal behaviour of the sensor are still difficult and unsolved task . The conventional cryptographic technique does not give the robust se curity or detection process to save the network from internal attacker that cause by abnormal behavior. The insider attacker or abnorma lly behaved sensor identificationand location detection framewo rk using false massage detection and Time difference of Arrival (T DoA) is presented in this paper. It has been shown that the new framework can efficiently identify and detect the insider att acker location so that the attacker can be reprogrammed or subside from th e network to save from internal attack . Keywords—Insider Attaker identification, Abnormal Behaviour, Location detection, Time difference of Arrival (TDo A), Wireless sensor network