Title :
LAD: Localization Anomaly Detection forWireless Sensor Networks
Author :
Du, Wenliang ; Fang, Lei ; Ning, Peng
Author_Institution :
Dept. of Electr. Eng., Syracuse Univ., NY, USA
Abstract :
In wireless sensor networks (WSNs), sensors´ locations play a critical role in many applications. Having a GPS receiver on every sensor node is costly. In the past, a number of location discovery (localization) schemes have been proposed. Most of these schemes share a common feature: they use some special nodes, called beacon nodes, which are assumed to know their own locations (e.g., through GPS receivers or manual configuration). Other sensors discover their locations based on the reference information provided by these beacon nodes. Most of the beacon-based localization schemes assume a benign environment, where all beacon nodes are supposed to provide correct reference information. However, when the sensor networks are deployed in a hostile environment, where beacon nodes can be compromised, such an assumption does not hold anymore. In this paper, we propose a general scheme to detect localization anomalies that are caused by adversaries. Our scheme is independent from the localization schemes. We formulate the problem as an anomaly intrusion detection problem, and we propose a number of ways to detect localization anomalies. We have conducted simulations to evaluate the performance of our scheme, including the false positive rates, the detection rates, and the resilience to node compromises.
Keywords :
Global Positioning System; mobile computing; mobility management (mobile radio); security of data; telecommunication security; wireless sensor networks; GPS receiver; beacon nodes; false positive rates; localization anomaly intrusion detection; sensor node; wireless sensor networks; Application software; Computer science; Costs; Global Positioning System; Intrusion detection; Personnel; Resilience; Routing protocols; Wireless application protocol; Wireless sensor networks;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
DOI :
10.1109/IPDPS.2005.267