Strategic Deployment of Honeypots in Blockchain-based IoT Systems

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.

I. Introduction

The Internet of Things (IoT) has revolutionized a wide array of sectors through its vast network of interconnected devices. However, alongside its benefits, the rapid expansion of the IoT introduces significant security and privacy concerns. These concerns are exacerbated as the devices often have limited computational resources, making them vulnerable to attacks [1]. Traditional security solutions, which sometimes rely on centralized systems, encounter scalability issues and introduce further vulnerabilities [1], [2].