A Quantum Intelligence AI-Driven Secure Framework for IoV: QI-CAI Clustering Architecture with FDS-QI Deep Learning Security Model

Abstract

This chapter proposes a novel Quantum Intelligence (QI)-based optimized, secure, and intelligent architectures for the IoT-based VANETs, known as Internet of Vehicles (IoV). Such technologies range from general Quantum Intelligence, AI, ML, and DL, through to the specific architectures upon which these solutions may be based, including ANN and the Levenberg Neural Engine as examples. The first proposed architecture, known as Quantum Intelligence-Driven Cluster-Based Adaptive Intelligence (QI-CAI), represents a core contribution in enhancing IoV communication by enabling dynamic and efficient clustering through the integration of Internet of Things (IoT) enabled intelligent services within the combined framework. In continuity, the second proposed architecture, Fine-Tuned Deep Learning Security with Quantum Intelligence (FDS-QI) Model, for improve security and avoid cyberattacks. Together, these two architectures form a unified framework that addresses both communication efficiency and security in next-generation IoV systems.