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Vehicular ad hoc network (VANET) is commonly employed in intelligent transportation system (ITS) that allows the exchange of traffic data among vehicles and nearby environment to accomplish effective driving experience. Privacy and security are the challenging issues that exist in the safety needs of the VANET. Any particular leakage of the vehicle details such as route data might result in serious impacts, and therefore, authentication and privacy-preserving protocols are needed to enhance safety in VANET. With this motivation, this paper presents a new lightweight authentication and privacy-preserving protocol using improved timed efficient stream loss-tolerant authentication with cuckoo filter (ITESLA-CF) for VANETs. The proposed model encompasses different stages of operations such as initialization, registration, mutual authentication, broadcast and verification, and vehicle revocation phases. In addition, the ITESLA-CF technique has effective broadcast authentication as TESLA with minimal memory requirement. Besides, the ITESLA-CF technique includes a cuckoo filter to save the authentic information of vehicles that exist in the RSU’s range. The proposed model has lightweight mutual authentication among the parties and it offers robust anonymity to accomplish privacy and resists ordinary attacks. To ensure the better performance of the ITESLA-CF technique, an extensive set of simulations take place and the results are assessed in terms of different measures. The resultant experimental values pointed out the supremacy of the ITESLA-CF technique over the recent state of art methods.

In recent years, vehicle ad hoc networks (VANETs) have garnered considerable interest in the field of intelligent transportation systems (ITS) due to the added safety and preventive measures for drivers and passengers. Regardless of the benefits provided by VANET, it confronts various challenges, most notably in terms of user/message security and privacy. Due to the decentralised nature of VANET and its changeable topologies, it is difficult to detect rogue or malfunctioning nodes or users. Using an improved grasshopper optimization algorithm (IGOA-PHE) technique in VANETs, this research develops a new privacy-preserving partly homomorphic encryption with optimal key generation. The suggested IGOA-PHE approach is intended to provide privacy and security in VANETs. The proposed IGOA-PHE technique consists of two stages: an ElGamal public key cryptosystem (EGPKC) for PHE and an optimised key generation procedure based on IGOA. To enhance the security of the EGPKC approach, the keys are selected ideally utilising the IGOA. Additionally, the IGOA is derived by using Gaussian mutation (GM) and Levy flights ideas. The experimental investigation of the proposed IGOA-PHE approach is extensive. The resulting results demonstrated that the provided IGOA-PHE technique outperformed recent state-of-theart methods.

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