This paper addresses the challenge of enhancing cybersecurity in Blockchain-based Internet of Things (BIoTs) systems, which are 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. The paper analyses strategic interactions between potential attackers and the AI-enhanced IDS through a game-theoretic model, specifically Bayesian games. 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.

翻译：本文探讨了增强基于区块链的物联网（BIoT）系统网络安全性的挑战，这些系统日益面临复杂网络攻击的威胁。文章提出了一种基于人工智能的系统模型，用于动态部署蜜罐，该模型利用与物联网节点上智能合约功能集成的入侵检测系统（IDS）。该模型能够将常规节点转化为诱饵以响应可疑活动，从而增强BIoT网络的安全性。本文通过博弈论模型（特别是贝叶斯博弈）分析了潜在攻击者与AI增强型IDS之间的战略互动。该模型专注于理解和预测可能最初看似正常的复杂攻击，强调战略决策、优化蜜罐部署以及针对演变的攻击模式的自适应策略。