AI-POWERED INTRUSION RESPONSE FOR INTELLIGENT VEHICULAR ECOSYSTEMS

Implementing strict cybersecurity measures to protect against cyber-attacks is absolutely necessary, given the increasing number of intelligent vehicles on the road. This study aims to learn more about the potential for creating an intelligent vehicle-specific autonomous intrusion response system (IRS). The proposed IRS system can instantly assess the consequences of intrusions and ascertain the best methods of response depending on the situation. Among the most significant contributions are a thorough analysis of different response techniques, a system for evaluating costs and impacts dynamically, and the application of various selection algorithms including Simple Additive Weighting (SAW), Linear Programming (LP), game theory, and AI-based procedures. Research has shown that the system works well in terms of response quality, efficiency of time, and consumption of resources. This proves that the technology has the ability to greatly enhance car safety. The findings of this study lay the groundwork for future framework improvements and adaptations by the Internal Revenue Service.