| Summary: | Wireless vehicular communication is used to enhance
traffic safety and to minimize congestion, thereby
leading to increased driving efficiency. A malicious node
can transmit an inaccurate message to trigger inevitable
situations by pretending to be multiple (other) vehicles.
Therefore, it is critical to identify malicious nodes as well
as fake messages generated by such nodes, and discard
such messages quickly. In a Sybil attack, an attacker participates
in the network with multiple forged identities in
order to disrupt the fundamental operations of VANET.
Sybil attacks are particularly easy to launch in VANETs
due to the open and broadcast nature of communication
medium. In this paper, we present the implementation of
simulated Sybil attack scenario in VANET and its consequences
on the performance of the network. We also propose
a lightweight, scalable and distributed detection approach
based on the difference in movement patterns of
Sybil nodes and legitimate nodes. In our approach, each
Road Side Unit (RSU) computes, stores and verifies various
parameter values including RSS, distance, angle of
passing-by vehicles through passive overhearing process
to detect Sybil attackers. The combination of different parameters
makes our detection approach highly accurate.
We validate our results on realistic traces obtained from
a multi-agent microscopic traffic simulator (MMTS). Simulation
results show the effectiveness of the proposed approach
to locate Sybil nodes with a different number of network
parameters.
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