Title :
Intrusion detection in wireless sensor networks for destructive intruders
Author :
Qixiang Yu;Zhenxing Luo;Paul Min
Author_Institution :
Department of Electrical and Systems Engineering, Washington University in St. Louis St. Louis, MO, 63130
Abstract :
Intrusion detection in a wireless sensor network (WSN) has drawn intensive attentions recently due to its wide applications. Many issues in intrusion detection, such as sensor deployment, mobility of sensors and data fusion have been investigated extensively. However, the behavior of the intruder has rarely been investigated. In this paper, we introduce a novel situation where the intruder can destroy encountered sensors. This situation is analyzed theoretically and experimentally under our system model. The key point is to discuss the intrusion detection problem differently according to the speed of the intruder. We derive the detection probability, which can be applied to any sensor deployment utilizing the disc model. The detection model we used includes a single-sensing detection model and a multiple-sensing detection model. Some interesting factors in intrusion detection, such as transmission period, sampling period, and the random entrance time of the intruder are also considered. Finally, our Monte-Carlo simulation results validated our analytical results.
Keywords :
"Intrusion detection","Wireless sensor networks","Sensors","Measurement","Analytical models","Boolean functions"
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015 Asia-Pacific
DOI :
10.1109/APSIPA.2015.7415410