Using Radio Device Fingerprinting for the Detection of Impersonation and Sybil Attacks in Wireless Networks

2006 ◽  
pp. 179-192 ◽  
Author(s):  
Bartlomiej Sieka
Keyword(s):  
Wireless Networks ◽  
Radio Device ◽  
Sybil Attacks

scholarly journals The Mason Test: A Defense Against Sybil Attacks in Wireless Networks Without Trusted Authorities

2015 ◽  
Vol 14 (11) ◽  
pp. 2376-2391 ◽  
Author(s):  
Yue Liu ◽  
David R. Bild ◽  
Robert P. Dick ◽  
Z. Morley Mao ◽  
Dan S. Wallach
Keyword(s):  
Wireless Networks ◽  
Sybil Attacks

Sybil Attack Detection through Global Topology Pattern Visualization

2010 ◽  
Vol 10 (1) ◽  
pp. 32-46 ◽  
Author(s):  
Aidong Lu ◽  
Weichao Wang ◽  
Abhishek Dnyate ◽  
Xianlin Hu
Keyword(s):  
Wireless Networks ◽  
Visual Analytics ◽  
Detection System ◽  
Attack Detection ◽  
Pattern Generation ◽  
Visualization Method ◽  
Sybil Attack ◽  
Wide Range ◽  
Matrix Visualization ◽  
Sybil Attacks

We present a robust intrusion detection approach for wireless networks based on a new multi-matrix visualization method with a set of pattern generation, evaluation, organization and interaction functions. Our approach concentrates on assisting users to analyze statistical network topology patterns that could expose significant attack features. Specifically, we investigate Sybil attacks that have severe impacts on the fundamental operations of wireless networks. We have analyzed the features of network topologies under various Sybil attacks and, consequently, designed several matrix reordering algorithms to generate statistical patterns. These topology patterns are automatically evaluated and classified through the measured structural similarities to the signature attack patterns. We have also designed a new time-series analysis method to identify attack durations with a time histogram generation and an automatic segmentation method. To handle complex Sybil attacks, we have integrated our pattern generation, evaluation and organization methods to construct a prototype detection system, in which specialized interaction functions are provided to assist the analysis and comparison of network data. Simulation results show that this approach can effectively locate Sybil attacks under different combinations of network parameters. Our multi-matrix visualization method provides a flexible framework to handle the intricacies and implications from building a complex visual analytics system, which can be extended to defend against a wide range of attacks.

scholarly journals Channel-Based Detection of Sybil Attacks in Wireless Networks

2009 ◽  
Vol 4 (3) ◽  
pp. 492-503 ◽  
Author(s):  
Liang Xiao ◽  
L.J. Greenstein ◽  
N.B. Mandayam ◽  
W. Trappe
Keyword(s):  
Wireless Networks ◽  
Sybil Attacks
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