DESIGNING EFFICIENT DATA ENCRYPTION AND COMPRESSION ALGORITHMS FOR ENHANCING SECURE V2X COMMUNICATION IN INTERNET OF VEHICLES

Abstract

The Internet of Vehicles (IoV) and Vehicle-to-Everything (V2X) communication have grown very quickly, which has made transportation safer, traffic control better, and entertainment services better. But because so much data is created in real time, V2X systems face problems like bandwidth overload, duplicate data, and major security threats. Traditional methods of encryption and compression either lower security to save time or slow down speed by adding a lot of extra work to the computer. This study focuses on the important issue of creating effective algorithms that combine encryption and compression to make V2X transmission safe and bandwidth-efficient. The main goal is to improve security, precision, and communication speed without using too much energy or computing power for vehicular networks. The suggested method blends adaptive entropy-driven compression with lightweight encryption based on block cyphers. End-to-end data security is provided by encryption, and message size is reduced by compression, which takes advantage of redundant data lines in vehicles in both time and space. Vehicle contact datasets are used to test the framework in a variety of network load situations. The results of the experiments show that the compression ratio is 52.7% better, which saves a lot of data. The suggested encryption module also achieves 96.4% security strength while using 7.8% less computing power than traditional AES-based solutions. Latency is cut by 18.5%, making real-time possible in situations where safety is important.