Abstract
Abstract Abstract A Sybil attack consists of an adversary assuming multiple identities to defeat the trust of an existing reputation system. When Sybil attacks are launched in vehicular networks, the mobility of vehicles increases the difficulty of identifying the malicious vehicle location. In this paper, a novel protocol for Sybil detection in vehicular networks is presented. Considering that vehicular networks are cyber-physical systems, the technique exploits well grounded results in the physical (i.e., transportation) domain to detect the Sybil attacks in the cyber domain. Compared to existing works that rely on additional cyber hardware support, or complex cryptographic primitives for Sybil detection, the protocol leverages the theory of platoon dispersion that models the physics of naturally occurring vehicle dispersion. Specifically, the proposed technique employs a certain number of roadside units that periodically collect reports from vehicles regarding their physical neighborhood. Leveraging from existing models of platoon dispersion, a protocol was designed to detect anomalously close neighborhoods that are reflective of Sybil attacks. To the best of the authors’ knowledge, this paper is unique in integrating a well established theory in transportation engineering for detecting cyber space attacks in vehicular networks. The resulting protocol is simple, efficient, and robust in diverse attack environments.
Highlights
Background and literature reviewIntroductionOrganizations in many countries today are investing in vehicular networks to leverage wireless networking support to improve state-of-the-art in road transportation
Some recent vehicular networking efforts are the USDOT’s Vehicle Infrastructure Integration (VII), which is a cooperative initiative between USDOT and automobile manufacturers, focusing on feasibility of deploying communications systems for safety and efficiency of road transportation systems
When μ∗N is low, dispersion is low. This means that the likelihood of vehicles platooning together is higher, lowering the chances of detecting Sybil identities
Summary
Background and literature reviewIntroductionOrganizations in many countries today are investing in vehicular networks to leverage wireless networking support to improve state-of-the-art in road transportation. The ERTICO partnership is a multi-sector partnership pursuing development and deployment of Intelligent Transport Systems across Europe. Apart from these efforts, a variety of VANET test-beds have been set up in academia for basic research and development of services. Other benign vehicles will tend to believe such a message, since it appears to be coming from multiple vehicles, and may adjust their routes In such a case VM can potentially obtain exclusive access to the road, which it otherwise could not. A number of other applications like content exchange, intelligent traffic signalling, and ramp metering can all be compromised in the presence of Sybil attacks. Unlike static networks like the Internet, vehicular mobilities make Sybil detection very difficult with the added spatio-temporal constraints
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