CRJan 21, 2020

Proactive Certificate Validation for VANETs

arXiv:2001.07585v12 citations
Originality Incremental advance
AI Analysis

This addresses a security and privacy bottleneck for vehicles in VANETs, but it is incremental as it builds on existing pseudonym and Bloom Filter methods.

The paper tackles the computational bottleneck of validating numerous short-lived pseudonyms in Vehicular Ad-hoc Networks (VANETs), which risks vehicle safety, by proposing a proactive validation approach using Bloom Filters that frees computational resources for safety-critical operations with reasonable communication overhead.

Security and privacy in Vehicular Ad-hoc Networks (VANETs) mandates use of short-lived credentials (pseudonyms) and cryptographic key pairs. This implies significant computational overhead for vehicles, needing to validate often numerous such pseudonyms within a short period. To alleviate such a bottleneck that could even place vehicle safety at risk, we propose a proactive pseudonym validation approach based on Bloom Filters (BFs). We show that our scheme could liberate computational resources for other (safety- and time-critical) operations with reasonable communication overhead without compromising security and privacy.

Foundations

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