Optimized Certificate Revocation List Distribution for Secure V2X Communications
Giovanni Rigazzi, Andrea Tassi, Robert J. Piechocki, Theo Tryfonas,, Andrew Nix

TL;DR
This paper presents an efficient framework for distributing compressed Certificate Revocation Lists in vehicular networks, improving scalability and reducing overhead using optimized Bloom filters.
Contribution
It introduces a low-complexity CRL distribution method with Bloom filter compression, enhancing scalability in PPKI-based vehicular security systems.
Findings
Compressed CRLs reduce distribution overhead significantly
Bloom filter optimization balances false positives and efficiency
Enhanced system scalability without added complexity
Abstract
The successful deployment of safe and trustworthy Connected and Autonomous Vehicles (CAVs) will highly depend on the ability to devise robust and effective security solutions to resist sophisticated cyber attacks and patch up critical vulnerabilities. Pseudonym Public Key Infrastructure (PPKI) is a promising approach to secure vehicular networks as well as ensure data and location privacy, concealing the vehicles' real identities. Nevertheless, pseudonym distribution and management affect PPKI scalability due to the significant number of digital certificates required by a single vehicle. In this paper, we focus on the certificate revocation process and propose a versatile and low-complexity framework to facilitate the distribution of the Certificate Revocation Lists (CRL) issued by the Certification Authority (CA). CRL compression is achieved through optimized Bloom filters, which…
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