An Efficient Compromised Node Revocation Scheme in Fog-Assisted Vehicular Crowdsensing

In this paper, we propose an efficient compromised node revocation scheme for enhancing security in road surface condition monitoring system (RSCMS) using fog computing. On the basis of certificateless aggregate signcryption scheme (CLASC), a data transmission protocol for monitoring road surface conditions is designed with security properties including reports confidentiality, integrity, mutual authenticity, privacy, revocation functionality and key escrow resilience. Extensive simulations are conducted to validate the proposed protocol. It is demonstrated that the proposed protocol outperfroms counterparts in terms of scalability, user revocation and signature verification efficiency.