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PROJECT TITLE :

A Secure Batch Authentication Scheme for Multiaccess Edge Computing in 5G-Enabled Intelligent Transportation System

ABSTRACT:

The amount of data that can be transmitted over a Communication channel has dramatically increased as a result of the incorporation of 5G technology into the intelligent transportation system (ITS). The current cloud-based ITS collects, stores, and analyzes a large amount of data in order to provide precise services to vehicle users. This places a burden on the cloud service provider, which can result in delays in service or the inability to provide complex services. Multi-access edge computing (MEC), a technology that extends cloud capabilities to edge servers, is gaining attention as a means of lowering the constraints of cloud-based infrastructure. MEC brings cloud capabilities closer to the edge of the network. On the other hand, in ITS built on MEC, since vehicles share information over a wireless Communication channel, this limitation does not apply. It is susceptible to a wide variety of security breaches. A secure batch authentication scheme for multi-access edge computing in 5G-enabled ITS is proposed in this paper. The proposed method is resistant to common security attacks such as impersonation, replay, man-in-the-middle, physical capture, and offline password guessing attacks. Additionally, the method offers secure batch authentication, anonymity, and confidentiality. In order to maintain continuity of service, we take into account whether or not the vehicle can pass through the boundary between MEC servers. We perform a performance analysis as well as an analysis of the security of the proposed scheme in order to demonstrate that the proposed scheme is secure against a variety of security attacks. In the final step, we compare our findings to those of other related works.


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