Enhance Security and Privacy in VANET Based Sensor Monitoring and Emergency Services

Abstract

VANET performs analysis of patient records and sends security warnings to the carer through VANET so that they may provide urgent assistance while keeping patient data safe. Threat actors might potentially access data packets that go between biological sensors and smart ambulances in the vehicular network. When healthcare professionals use a VANET, they run the risk of receiving inaccurate or delayed data as a result of assaults like the Sybil attack, denial of service attacks, and impersonation attacks. As a result, protecting people’s personal information and data has become an important task for academics. In this research, we propose the use of an Urbanized Block Chain Key Agreement Protocol (UB-KAP) based on a one-way hash chain model to increase protections for individual privacy and data integrity in VANET-based healthcare networks. The messages include timestamps in case the messages that have already expired cause excessive delays. The beacons’ packet classification mechanism separates them into benign and harmful emergency signals to speed up response times. The suggested model is tested by road traffic simulation using SUMO (Simulation of Urban Mobility). Data collection per user, message delivery ratio, total data gathered, delay, and energy usage are all included in the model’s overall evaluation.