Designing Autonomous Systems That Use Deception Techniques to Detect and Respond to Cyber Threats
D. Sanjana, D. Shanmugavadivel · Advances in computational intelligence and robotics book series · 2025
The escalating complexity of cyber threats demands innovative solutions to strengthen cybersecurity defenses. This research focuses on designing autonomous systems that leverage deception techniques to detect and respond to cyber threats. By integrating deception strategies with autonomous decision-making, these systems can effectively outmaneuver and outsmart cyber adversaries, reducing the risk of successful attacks. The proposed autonomous deception system utilizes artificial intelligence and machine learning algorithms to create decoy environments, lure attackers into revealing their tactics, and adapt to evolving threats. The autonomous deception system is designed to operate in real-time, providing rapid detection and response capabilities. The research contributes to the development of next-generation cybersecurity solutions, providing a novel approach to autonomous threat detection and response. The findings have significant implications for organizations seeking to strengthen their cybersecurity defenses against increasingly sophisticated threats.