Providing VANET security through active position detection

Authors:
Gongjun Yan Yan;Gyanesh Choudhary;Michele C. Weigle;Stephan Olariu
Affiliations:
Old Dominion University, Norfolk, VA;Old Dominion University, Norfolk, VA;Old Dominion University, Norfolk, VA;Old Dominion University, Norfolk, VA
Venue:
Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks
Year:
2007

Citing 2
Cited 3

The Sybil Attack

IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Multi-object adaptive cruise control

HSCC'03 Proceedings of the 6th international conference on Hybrid systems: computation and control

SAT: situation-aware trust architecture for vehicular networks

Proceedings of the 3rd international workshop on Mobility in the evolving internet architecture
Policy Management for Secure Data Access Control in Vehicular Networks

Journal of Network and Systems Management
Implementation of SHA-1 and ECDSA for vehicular ad-hoc network using NS-3

Proceedings of the 2nd annual conference on Research in information technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Our main contribution is a novel approach to enhancing position security in VANET. We achieve local and global position security by using the on-board radar to detect neighboring vehicles and to confirm their announced coordinates. We compute cosine similarity among data collected by radar and neighbors' reports to filter the forged data from the truthful data. Based on filtered data, we create a history of vehicle movement. By checking the history and computing similarity, we can prevent a large number of Sybil attacks and some combinations of Sybil and position-based attacks.