Title :
A Lightweight Conditional Privacy-Preservation Protocol for Vehicular Traffic-Monitoring Systems
Author :
Rongxing Lu ; Xiaodong Lin ; Zhiguo Shi ; Shen, Xuemin Sherman
Abstract :
Vehicular traffic monitoring (VTM) is a promising cyber-physical system, but it faces many security and privacy challenges. Here, a new lightweight conditional privacy preservation (LCPP) protocol utilizes simple hash-chain techniques to secure VTM systems. The protocol not only supports the requirement of conditional privacy preservation, but also achieves efficient local revocation verification on the road.
Keywords :
cryptographic protocols; data privacy; road traffic; road vehicles; LCPP protocol; VTM systems; cyber-physical system; hash-chain techniques; lightweight conditional privacy preservation protocol; local revocation verification; security; vehicular traffic monitoring systems; Educational institutions; Intelligent systems; Road transportation; Road vehicles; Safety; Traffic control; Vehicles; Vehicular ad hoc networks; Educational institutions; Intelligent systems; LCPP; Road transportation; Road vehicles; Safety; Traffic control; Vanet; Vehicles; Vehicular Ad Hoc Network; Vehicular ad hoc networks; intelligent systems; lightweight conditional privacy preservation; vehicular traffic monitoring;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2013.56
