FC-LSR: Fog Computing-Based Lightweight Sybil Resistant Scheme in 5G-Enabled Vehicular Networks

Abstract

Vehicular networks with Fifth-Generation (5G) are a new form of wireless communication that could greatly benefit society by lowering the number of preventable car accidents and entertaining passengers in a variety of ways. Security threats can compromise the communications transmitted by a vehicle in a vehicular network because of the open nature of these networks. This means that there are potential security and privacy concerns with VANET. Many methods for fixing VANET's issues have been offered recently. Unfortunately, most of them suffer from significant overhead and security concerns such as Sybil attacks. Therefor, this paper proposes a novel fog computing-based lightweight Sybil resistant attacks, called FC-LSR in 5G-enabled vehicular networks. The proposed FC-LSR scheme makes use of Modified Merkle Patricia Trie (MMPT) in conjunction with Merkle Hash Tree (MHT) to securely store the 'current status' values of cars while protecting the anonymity of the data. In the proposed FC-LSR scheme, vehicles inside the same fog server's region are more likely to update their anonymity at the same time and on a regular basis when anonymous expiration is enabled.