Eviction of Misbehaving and Faulty Nodes in Vehicular Networks

By Maxim Raya, Panos Papadimitratos, Imad Aad, Daniel Jungels, Jean-Pierre Hubaux. IEEE Journal on Selected Areas in Communications, 2007

458 citations recorded by the source corpus.

Vehicular networks (VNs) are emerging, among civilian applications, as a convincing instantiation of the mobile networking technology. However, security is a critical factor and a significant challenge to be met. Misbehaving or faulty network nodes have to be detected and prevented from disrupting network operation, a problem particularly hard to address in the life-critical VN environment. Existing networks rely mainly on node certificate revocation for attacker eviction, but the lack of an omnipresent infrastructure in VNs may unacceptably delay the retrieval of the most recent and relevant revocation information; this will especially be the case in the early deployment stages of such a highly volatile and large-scale system. In this paper, we address this specific problem. We propose protocols, as components of a framework, for the identification and local containment of misbehaving or faulty nodes, and then for their eviction from the system. We tailor our design to the VN characteristics and analyze our system. Our results show that the distributed approach to contain nodes and contribute to their eviction is efficiently feasible and achieves a sufficient level of robustness.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/81fd823c95c7a5662bc7e105cd5cd279c0442af9

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

An Identity-Based Security System for User Privacy in Vehicular Ad Hoc Networks (2010, background): “The authors also proposed three credential revocation protocols tailored for VANETs, namely RTPD, RC2RL, and DRP [11], considering that the certificate revocation list (CRL) needs to be distributed across the entire network in a timely manner.”
Providing VANET security through active position detection (2007, unknown): “%) are honest [32].”
A survey of attacks and detection mechanisms on intelligent transportation systems: VANETs and IoV (2017, methodology): “Another solution called Misbehavior Detection System (MDS) was devised by Raya et al. [66] Ghosh et al. [67] propose a scheme for post-crash notification (PCN) applications.”
A Security and Privacy Review of VANETs (2015, background): “Although researchers came up with ideas to address this problem [18], [19], most of the schemes relied heavily on tamper-proof devices (TPDs), which if attacked and cracked, the whole system would be compromised.”
Pseudonym Schemes in Vehicular Networks: A Survey (2015, background): “a major challenge for effective pseudonym and node revocation [84].”
V2X Access Technologies: Regulation, Research, and Remaining Challenges (2018, background): “It is possible to identify at least a subset of misbehaving nodes [127], [128], and by so doing prevent them from perpetuating further attacks.”
Secure vehicular communication systems: design and architecture (2008, methodology): “This can also be done via the RC 2 RL (Revocation using Compressed Certiﬁcate Revocation Lists) protocol [13], which can reduce the size of CRLs by a lossy compression scheme, notably Bloom ﬁlters, to the extent they could be transmitted even over the RDS.”