%0 Journal Article %A Muhammad R. Ahmed and Xu Huang and Dharmendra Sharma %D 2012 %J International Journal of Electronics and Communication Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 62, 2012 %T A Novel Framework for Abnormal Behaviour Identification and Detection for Wireless Sensor Networks %U https://publications.waset.org/pdf/11761 %V 62 %X Despite extensive study on wireless sensor network security, defending internal attacks and finding abnormal behaviour of the sensor are still difficult and unsolved task. The conventional cryptographic technique does not give the robust security or detection process to save the network from internal attacker that cause by abnormal behavior. The insider attacker or abnormally behaved sensor identificationand location detection framework using false massage detection and Time difference of Arrival (TDoA) is presented in this paper. It has been shown that the new framework can efficiently identify and detect the insider attacker location so that the attacker can be reprogrammed or subside from the network to save from internal attack. %P 207 - 210