The successful deployment of safe and trustworthy Connected and AutonomousVehicles (CAVs) will highly depend on the ability to devise robust andeffective security solutions to resist sophisticated cyber attacks and patch upcritical vulnerabilities. Pseudonym Public Key Infrastructure (PPKI) is apromising approach to secure vehicular networks as well as ensure data andlocation privacy, concealing the vehicles' real identities. Nevertheless,pseudonym distribution and management affect PPKI scalability due to thesignificant number of digital certificates required by a single vehicle. Inthis paper, we focus on the certificate revocation process and propose aversatile and low-complexity framework to facilitate the distribution of theCertificate Revocation Lists (CRL) issued by the Certification Authority (CA).CRL compression is achieved through optimized Bloom filters, which guarantee aconsiderable overhead reduction with a configurable rate of false positives.Our results show that the distribution of compressed CRLs can significantlyenhance the system scalability without increasing the complexity of therevocation process.
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