Sybil Attack Detection Based on RSSI for Wireless Sensor Network
Jiangtao Wang, Geng Yang, Yuan Sun, Shengshou Chen · 2007
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.