SPHA-VC: Secure passengers health assessment via vehicular communications

Abstract

Passenger health evaluation is a vital aspect of smart city applications. Remotely monitoring driver and passenger health save lives. Vehicular Ad Hoc Network (VANET)-assisted Internet of Things (IoT) will be an excellent option in that periodic vehicle health information will be sent to a nearby medical Base Station (BS). VANET communications are in an open wireless channel, making them subject to attacks against patient privacy. VANET-based healthcare monitoring systems must provide timely supervision with end-to-end security. Providing cost-effective healthcare utilizing dynamic and vulnerable VANET connections is a smart city research challenge. We propose novel Secure Passengers Health Assessment via Vehicular Communications (SPHA-VC) protocol to provide Quality of Service (QoS) efficient emergency medical information transmission with high security and privacy preservation. The SPHA-VC is consisting of security and privacy preservation-aware routing algorithms for IoT-based passenger health assessment connected with the VANETs. First, we design a reliable route formation algorithm using Artificial Intelligence (AI). Second, we propose a lightweight cryptography mechanism to achieve secure end-to-end medical data transmission. The reliable routing formation algorithm using Fuzzy Logic (FL) is integrated with Elliptic Curve Cryptography (ECC)-based secure data transmission mechanism. SPHA-VC's purpose is to accomplish secure communications in IoT-enabled VANETs and vehicle privacy reserving to guard against various cyber security threats using new FL-based reliable route formation and ECC-based secure data transfer. The simulation results revealed the efficiency of the SPHA-VC compared to state-of-the-art methods.