Abstract
In this paper, we develop and evaluate a Localization Anomaly Detection (LAD) scheme for non-flat surfaces for wireless sensor networks. The beacon-less grid localization scheme proposed for non-flat terrains in [1] is used for localization and the localization anomaly detection uses observations of the sensor node at two different reception ranges. Moreover, a new Signal Strength (SS) Metric is proposed and evaluated for LAD. Simulations show that the beacon-less localization method when combined with the LAD scheme gives good detection rates with low false positive rates for the proposed Signal Strength Metric and the Difference Metric. The results show that Signal Strength Metric is comparable to existing metrics while being more difficult to attack.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-642-02080-3_28
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Krupadanam, S., Fu, H.: Beacon-less Location Detection in Wireless Sensor Networks for Non-flat Terrain. In: International Conference on Future Generation Communication and Networking (FGCN 2007), Jeju Island, Korea, December 6-8 (2007)
Du, W., Fang, L., Ning, P.: LAD: Localization Anomaly Detection for Wireless Sensor Networks. In: 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2005) (2005)
The sample data for Non-flat terrain us taken, http://www.spinmass.com/2life/docs/Seacliff_Terrain.txt
Lazos, L., Poovendran, R.: SeRLoc: Secure Range-Independent Localization for Wireless Sensor Networks. In: ACM WiSe, pp. 21–30 (2004)
Tang, J., Fan, P., Tang, X.: A RSSI-Based Cooperative Anomaly Detection Scheme for Wireless Sensor Networks. In: International Conference on WiCom 2007, Shanghai, China (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Krupadanam, S., Fu, H. (2009). Localization Anomaly Detection in Wireless Sensor Networks for Non-flat Terrains. In: Vicat-Blanc Primet, P., Kudoh, T., Mambretti, J. (eds) Networks for Grid Applications. GridNets 2008. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02080-3_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-02080-3_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02079-7
Online ISBN: 978-3-642-02080-3
eBook Packages: Computer ScienceComputer Science (R0)