WIDE: A witness-based data priority mechanism for vehicular forensics

In this paper, we present a WItness based Data priority mEchanism (WIDE) for vehicles in the vicinity of an accident to facilitate liability decisions. WIDE evaluates integrity data generated by these vehicles, called witnesses, event assure reliability be used making decisions and ensure that such are received from credible witnesses. To achieve this, introduces two-level assessment end-to-end initially ascertaining data-producing sensors, validating have not been altered on transit compromised road-side units (RSUs) executing practical byzantine fault tolerance (pBFT) protocol reach consensus reliability. Furthermore, utilises blockchain reputation management system (BRMS) only highly reputable witnesses utilised as contributing evidence facilitating Finally, formally verify proposed framework against requirements using Automated Verification Internet Security Protocols Applications (AVISPA) with High-Level Protocol Specification Language (HLPSL). Qualitative arguments show our is secured identified security attacks assures decisions, while quantitative evaluations demonstrate proposal fully autonomous vehicle forensics.