Detecting and correcting malicious data in VANETs

Abstract

In order to meet performance goals, it is widely agreed that vehicular ad hoc networks (VANETs) must rely heavily on node-to-node communication, thus allowing for malicious data traffic. At the same time, the easy access to information afforded by VANETs potentially enables the difficult security goal of data validation. We propose a general approach to evaluating the validity of VANET data. In our approach a node searches for possible explanations for the data it has collected based on the fact that malicious nodes may be present. Explanations that are consistent with the node's model of the VANET are scored and the node accepts the data as dictated by the highest scoring explanations. Our techniques for generating and scoring explanations rely on two assumptions: 1) nodes can tell "at least some" other nodes apart from one another and 2) a parsimony argument accurately reflects adversarial behavior in a VANET. We justify both assumptions and demonstrate our approach on specific VANETs.

Ability-aware trust for vehicular networks

“…So, both models complete each other. Golle et al (2004) also verify the data, this time based on a model of the network.…”

“…It is a mechanism to evaluate the sender over several interactions. Models for the second step (that is, evaluate the data with regard to the current situation) are introduced, e.g., in Golle et al (2004) and Raya et al (2008).…”

Delivering CRL with Low Bit Rate Network Coded Communication for ITS

“…In the case of ITS, vehicles shall own a lot of short-lifetime certificates in order to satisfy nonanonymous and end-user anonymity. In [8], it is supported that the pseudonyms are updated every minute and that 43,800 pseudonyms is used each year under the assumption that an average driving time is two hours per day. If it is deployed, the distributing size of certificates is large.…”

“…If a session key as the common key with authenticity of the owners is exchanged, a public key encryption must be used. The public key certificates are used in the public key encryptionbased communications [8], [9]. As the authors of [10] say, the most challenging part of cryptographic algorithms or applications in vehicular network is key management and the Vehicular Public Key Infrastructure (VPKI) is one of the most important schemes to provide key management among vehicles.…”

Distributed Data Fusion for Detecting Sybil Attacks in VANETs

“…Several techniques have been developed to detect misbehaving or fake nodes in VANETs. Gole et al [7] represented an adversial parsimony that means finding the explanation for corrupted data. Vehicles can distinguish their neighbors by using cameras or exchanging messages in infrared light spectrum.…”