The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation
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...
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| Format: | Article |
| Language: | English |
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Academy of Cognitive and Natural Sciences
2024-11-01
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| Series: | Journal of Edge Computing |
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| Online Access: | https://acnsci.org/journal/index.php/jec/article/view/607 |
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| author | Dmytro S. Morozov Andrii A. Yefimenko Tetiana M. Nikitchuk Roman O. Kolomiiets Serhiy O. Semerikov |
| author_facet | Dmytro S. Morozov Andrii A. Yefimenko Tetiana M. Nikitchuk Roman O. Kolomiiets Serhiy O. Semerikov |
| author_sort | Dmytro S. Morozov |
| collection | DOAJ |
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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.
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| format | Article |
| id | doaj-art-5a55ed6455364be489bb0cb3379b19bb |
| institution | Kabale University |
| issn | 2837-181X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Academy of Cognitive and Natural Sciences |
| record_format | Article |
| series | Journal of Edge Computing |
| spelling | doaj-art-5a55ed6455364be489bb0cb3379b19bb2024-11-21T06:38:22ZengAcademy of Cognitive and Natural SciencesJournal of Edge Computing2837-181X2024-11-013210.55056/jec.607The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluationDmytro S. Morozov0https://orcid.org/0000-0002-0807-590XAndrii A. Yefimenko1https://orcid.org/0000-0003-2128-4797Tetiana M. Nikitchuk2https://orcid.org/0000-0002-9068-931XRoman O. Kolomiiets3https://orcid.org/0000-0002-9020-938XSerhiy O. Semerikov4https://orcid.org/0000-0003-0789-0272Zhytomyr Polytechnic State UniversityZhytomyr Polytechnic State UniversityZhytomyr Polytechnic State UniversityZhytomyr Polytechnic State UniversityKryvyi Rih State Pedagogical University 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. https://acnsci.org/journal/index.php/jec/article/view/607adaptive honeypotsIoT securitydeception technologymachine learningintrusion detectionevaluation metrics |
| spellingShingle | Dmytro S. Morozov Andrii A. Yefimenko Tetiana M. Nikitchuk Roman O. Kolomiiets Serhiy O. Semerikov The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation Journal of Edge Computing adaptive honeypots IoT security deception technology machine learning intrusion detection evaluation metrics |
| title | The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation |
| title_full | The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation |
| title_fullStr | The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation |
| title_full_unstemmed | The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation |
| title_short | The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation |
| title_sort | sweet taste of iot deception an adaptive honeypot framework for design and evaluation |
| topic | adaptive honeypots IoT security deception technology machine learning intrusion detection evaluation metrics |
| url | https://acnsci.org/journal/index.php/jec/article/view/607 |
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