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| Content Provider | ACM Digital Library |
|---|---|
| Author | Gaur, Manoj Singh Laxmi, Vijay Grover, Jyoti |
| Abstract | Security is an important concern for many Vehicular Ad hoc Network (VANET) applications. One particular serious attack, known as Sybil attack, against ad hoc networks involves an attacker illegitimately claiming multiple identities. In this paper, we present a simple security scheme, based on the difference in movement patterns of Sybil nodes and normal nodes, for detecting Sybil nodes in VANET. Our approach is distributed in nature because all nodes contribute for detection of Sybil nodes in VANET and it scales well in an expanding network. In this approach, each Road Side Unit (RSU) calculates and stores different parameter values (Received Signal Strength, distance, angle) after receiving the beacon packets from nearby vehicles. The reason for choosing the angle as one of the parameters is that it will always be different for two vehicles (not moving side-by-side), even if they have same values for distance and received signal strength (RSS) with reference to a RSU. The combination of the parameters makes our detection approach highly accurate. After a significant observation period, these RSUs exchange their records and calculate the difference of the parameters. If some nodes have same values for the parameters during this observation period, these nodes are classified as Sybil nodes. Our preliminary simulation results show 99% accuracy and approximately 0.5% error rate, lower as compared to existing techniques. |
| Starting Page | 249 |
| Ending Page | 255 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450302340 |
| DOI | 10.1145/1854099.1854150 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-09-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Vehicular adhoc network Security Sybil attack |
| Content Type | Text |
| Resource Type | Article |
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