%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