Detecting malicious nodes in RSS-based localization

Author

Maheshwari, Manas ; Sai Ananthanarayanan, Peruvemba R. ; Banerjee, Arijit ; Patwari, Neal ; Kasera, Sneha K.

Author_Institution

Sch. of Comput., Univ. of Utah, Salt Lake City, UT, USA

fYear

2011

fDate

20-24 June 2011

Firstpage

1

Lastpage

6

Abstract

Measurements of received signal strength (RSS) on wireless links provide position information in various localization systems, including multilateration-based and fingerprint-based positioning systems, and device-free localization systems. Existing localization schemes assume a fixed or known transmit power. Therefore, any variation in transmit power can result in error in location estimate. In this paper, we present a generic framework for detecting power attacks and identifying the source of such transmit power variation. Our results show that we can achieve close to zero missed detections and false alarms with RSS measurements of only 50 transmissions. We also present an analysis of trade-off between accuracy and latency of detection for our method.

Keywords

radio links; telecommunication security; RSS measurements; RSS-based localization; device-free localization systems; fingerprint-based positioning systems; malicious node detection; multilateration-based system; power attack detection; received signal strength measurement; transmit power variation; wireless links; wireless security; Accuracy; Noise; Power measurement; Receivers; Security; Transmitters; Wireless sensor networks; Localization; RSS; sensor networks; wireless security;

fLanguage

English

Publisher

ieee

Conference_Titel

World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011 IEEE International Symposium on a

Conference_Location

Lucca

Print_ISBN

978-1-4577-0352-2

Electronic_ISBN

978-1-4577-0350-8

Type

conf

DOI

10.1109/WoWMoM.2011.5986168

Filename

5986168