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The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation

Authors :
Dmytro S. Morozov
Andrii A. Yefimenko
Tetiana M. Nikitchuk
Roman O. Kolomiiets
Serhiy O. Semerikov
Source :
Journal of Edge Computing, Vol 3, Iss 2 (2024)
Publication Year :
2024
Publisher :
Academy of Cognitive and Natural Sciences, 2024.

Abstract

The rapid proliferation of Internet of Things (IoT) devices has introduced unprecedented security challenges for critical infrastructure systems. Honeypots and honeynets have emerged as promising deception technologies for detecting, deflecting, and investigating IoT-specific threats. In this paper, we propose an integrated framework for the design, implementation, and evaluation of adaptive honeypots in IoT environments. The framework consists of two key components: (1) an adaptive honeypot architecture that dynamically adjusts its behaviour based on observed attack patterns and (2) an evaluation methodology with quantitative metrics to assess the effectiveness of IoT honeypots. We discuss the current usage and future potential of this integrated framework in the context of critical infrastructure protection, highlighting challenges and opportunities for collaborative defence against evolving cyber threats.

Details

Language :
English
ISSN :
2837181X
Volume :
3
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of Edge Computing
Publication Type :
Academic Journal
Accession number :
edsdoj.5a55ed6455364be489bb0cb3379b19bb
Document Type :
article
Full Text :
https://doi.org/10.55056/jec.607