Aggregation and probabilistic verification for data authentication in VANETs

TL;DR

This paper introduces a novel data aggregation protocol with probabilistic verification and reactive groups for data authentication in VANETs, aiming to efficiently detect malicious activities with minimal overhead.

Contribution

It presents a new aggregation protocol combining probabilistic verification and reactive groups, enhancing security and efficiency in VANET data authentication.

Findings

Protocol is robust in real device tests

Simulation results show minimal overhead and delay

Effective detection of malicious behavior

Abstract

Vehicular ad-hoc networks, where traffic information is distributed from many sources to many destinations, require data authentication mechanisms to detect any malicious behavior of users, such as modification or replay attacks. In this paper we propose a new data aggregation protocol that uses probabilistic verification to detect such attack attempts a posteriori in an efficient way, with minimal overhead and delay. The algorithm also contains an additional security mechanism based on reactive groups created on demand, which ensure a priori that vehicles generate trustworthy information. According to a comprehensive analysis including both a small-scale real device implementation and NS2 simulations, it is shown that the proposed protocol is robust.