Abstract:
This paper addresses the challenge of enhancing cybersecurity in Blockchain-based Internet of Things (BIoTs) systems, increasingly vulnerable to sophisticated cyberattack...Show MoreMetadata
Abstract:
This paper addresses the challenge of enhancing cybersecurity in Blockchain-based Internet of Things (BIoTs) systems, increasingly vulnerable to sophisticated cyberattacks. It introduces an AI-powered system model for the dynamic deployment of honeypots, utilizing an Intrusion Detection System (IDS) integrated with smart contract functionalities on IoT nodes. This model enables the transformation of regular nodes into decoys in response to suspicious activities, thereby strengthening the security of BIoT networks. Through a game-theoretic model, specifically Bayesian games, the paper analyses strategic interactions between potential attackers and the AI-enhanced IDS. The model focuses on understanding and predicting sophisticated attacks that may initially appear normal, emphasizing strategic decision-making, optimized honeypot deployment, and adaptive strategies in response to evolving attack patterns.
Date of Conference: 22-25 April 2024
Date Added to IEEE Xplore: 19 July 2024
ISBN Information: