IoT-enabled Dynamic Route Planning for Autonomous Vehicles - Addressing Security and Privacy Concerns: Addresses security and privacy concerns in IoT-enabled dynamic route planning systems for Avs

Abstract

The integration of Internet of Things (IoT) technologies in autonomous vehicles (AVs) has revolutionized transportation systems, particularly in dynamic route planning. However, this advancement raises critical security and privacy concerns. This paper explores the security and privacy challenges in IoT-enabled dynamic route planning for AVs and proposes solutions to mitigate these concerns. The study conducts a comprehensive analysis of existing security mechanisms and privacy-preserving techniques, highlighting their limitations. It then proposes a novel approach that combines blockchain technology, encryption techniques, and anomaly detection to enhance security and privacy in IoT-enabled dynamic route planning systems for AVs. The proposed approach aims to provide secure and private route planning while ensuring the efficient operation of AVs in dynamic environments.