Interaction Honeypot

Interaction honeypots are decoy systems designed to lure and analyze attackers, providing valuable insights into attack methods and attacker behavior. Current research focuses on adapting honeypots to diverse environments, including IoT devices and social media platforms, often employing machine learning (e.g., reinforcement learning) and game theory to optimize their effectiveness and evade detection. This work is significant for improving cybersecurity defenses by providing real-world threat intelligence and informing the development of more robust security measures across various digital domains.