Title :
A Regional Statistics Detection Scheme against Sybil Attacks in WSNs
Author :
Mingxi Li ; Yan Xiong ; Xuangou Wu ; Xiancun Zhou ; Yuhui Sun ; Shenpei Chen ; Xiaoya Zhu
Author_Institution :
Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
The detection of replication attacks in wireless sensor networks (WSNs) has been a long-standing problem. Many variants of replication attacks were spawned such as the sybil attack. In this paper, we proposed a regional statistics detection scheme (RSDs) against sybil attacks, which is an effective solution to three key issues: firstly, we address the sybil attack by a RSSI-based distributed detection mechanism, secondly, our protocol can prevented the network from a large number of nodes failure caused by sybil attacks, Thirdly, the RSDs has been verified can maintain a high detection probability with low system overhead by implement experiments. Finally, we run our protocol in a prototype detection system with 32 nodes that the experiment result confirmed its high efficiency.
Keywords :
protocols; statistical analysis; telecommunication network reliability; telecommunication security; wireless sensor networks; RSD; RSSI-based distributed detection mechanism; WSN; high detection probability; long-standing problem; node failure; regional statistics detection scheme; sybil attack; wireless sensor network; Authentication; Distance measurement; Encryption; Protocols; Wireless communication; Wireless sensor networks; regional statistics detection scheme (RSDs); sybil attacks; wireless sensor networks (WSNs);
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 12th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/TrustCom.2013.39
