SeVR+ :Secure and Privacy-Aware Cloud-Assisted Video Reporting Service for 5G Vehicular Networks

Recently, Eiza et al. proposed a secure and privacyaware scheme for video reporting service in SG enabled Vehicular Ad hoc Networks (VANET). They employ heterogeneous network and cloud platform to obtain more availability with low latency platform for an urgent accident video reporting service. In their study, for the first time the security issues of SG enabled vehicular networks have been addressed. Eiza et al. claimed that their scheme guarantees user's privacy, confidentiality, non-repudiation, message integrity and availability for participant vehicles. In this paper, we show that Eiza et al. scheme is vulnerable to replay, message fabrication and DoS attacks. Regarding the sensibility of video reporting services in VANET, then, we propose an efficient protocol to overcome security weaknesses of Eiza et. al. scheme and show that the proposed protocol resists against commonplace attacks in VANET with acceptable communication and computation overhead.