The Proposed Self-defense Mechanism Against Security Attacks for Autonomous Vehicles

The objective of this work is the use of artificial intelligence to improve the safety of connected autonomous vehicles, in this project, we will propose the architecture and validation of a self-defense system for the detection, classification, prediction, and decision-making at the level of control system on the connected autonomous vehicle in the presence of security attacks or risk of attacks. A system that can be integrated into all connected autonomous vehicles and admits improvements to follow the evolution of attacks and transport systems. In this project we will propose a self-defense system consists three treatment blocks; the first block has the role of the permanent scanning of the various connected interfaces to detect any intrusions or security attacks. The second block will collect the information from the first block; it will analyze them and classify the attack according to its impact on the operation of the vehicle or on its connected environment. The result will be communicated to the third block which must predict the impact of the attack for decision-making.