Name
Abstract | ||
|---|---|---|
In wireless networks,the authenticity and uniqueness of node identities are essential to the fundamental operations such as routing, resource allocation, and intrusion detection. In this paper, we investigate Sybil attack, an attack in which a malicious node illegitimately acquires multiple identities and performs as these nodes simultaneously. We propose an effective approach to monitoring and detecting such attacks by integrating network security and visualization methods. The security component explores the time-varying network topology and its statistical and geometry information to detect the existence of Sybil attacks. The visualization component incorporates the detection results and provides an effective mechanism to illustrate abnormal topology patterns and locate fake identities. These two components are integrated into a practical system that takes advantage of both interactive visualization and intelligent security methods. Experimental studies are conducted to investigate the impacts of the network parameters such as node connectivity on the detection capability of the proposed mechanism. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1179576.1179585 | VizSEC |
Keywords | Field | DocType |
intelligent security method,network parameter,wireless network,detection result,detection capability,node connectivity,sybil attack,network security,interactive visualization,intrusion detection,malicious node illegitimately,wireless networks,network topology | Wireless network,Visualization,Computer security,Computer science,Network security,Computer network,Network topology,Sybil attack,Interactive visualization,Resource allocation,Intrusion detection system | Conference |
ISBN | Citations | PageRank |
1-59593-549-5 | 5 | 0.45 |
References | Authors | |
29 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weichao Wang | 1 | 500 | 33.87 |
| Aidong Lu | 2 | 353 | 30.18 |