Strategic Deployment of Honeypots in Blockchain-based IoT Systems

Daniel Commey, Sena Hounsinou, Garth V. Crosby
5/21/2024
cs.CRcs.AIcs.NI

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{commey2024strategic,
  title  = {Strategic Deployment of Honeypots in Blockchain-based IoT Systems},
  author = {Daniel Commey and Sena Hounsinou and Garth V. Crosby},
  year   = {2024},
  eprint = {2405.12951},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2405.12951v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2405.12951.svg)](https://codeofpaper.com/paper/2405.12951)

Discussion