Sybil Attack Detection Based on RSSI for Wireless Sensor Network

In this paper we propose a new method of Sybil attack detection in wireless sensor network (WSN) based on received signal strength indication (RSSI). This method establishes Jakes channel model by emulating real network space situation of WSN. At the same time, it judges Sybil attack from both the r...

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Bibliographic Details
Published in2007 International Conference on Wireless Communications, Networking and Mobile Computing pp. 2684 - 2687
Main Authors Jiangtao Wang, Geng Yang, Yuan Sun, Shengshou Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Computer networks
Educational institutions
Emulation
Head
Information security
Rayleigh channels
Space technology
Sun
Telecommunication computing
Wireless sensor networks
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Summary:In this paper we propose a new method of Sybil attack detection in wireless sensor network (WSN) based on received signal strength indication (RSSI). This method establishes Jakes channel model by emulating real network space situation of WSN. At the same time, it judges Sybil attack from both the received signal's strength of nodes and the status messages of member nodes which are accumulated in head nodes synthetically. Consequently, two ways were proposed to check, and raise the efficiency and refinement of Sybil attack on head nodes and member nodes. The method achieves the preferable detection rate and offers a wide range of applications.
ISBN:1424413117
9781424413119
ISSN:2161-9646
DOI:10.1109/WICOM.2007.667