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Original Article

Honeypot-Based Deception System for Automated Threat Detection

  • Paper ID 1213
  • Volume 7, Issue 6
  • Pages 83-91
  • Published Online: November-December 2026
Open Access Peer Reviewed Crossref DOI

Authors

  • Srushti D. Sathe1
  • Sharayu N. Patil2
  • Diya C. Jangme3
  • Swati A. Lade4
  • Sakshi G. Nikam5
  • Swati S. Patil6

1 2 3 4 5 6 D.Y. Patil College of Engineering & Technology Kolhapur, Maharashtra, India.

Article Information

Published Online
November-December 2026
Pages
83-91
Article Type
Original Article
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References

1. N. Provos, "A Virtual Honeypot Framework," in Proc. 13th USENIX Security Symposium (USENIX Security 04), 2004, pp. 1–14. [Online]. Available: https://www.usenix.org/conference/13th-usenix-security-symposium/virtual-honeypot-framework
2. L. Spitzner, Honeypots: Tracking Hackers. Boston, MA, USA: Addison-Wesley Professional, 2002.
3. H. Alrubaish, W. Aljoby, A. Aldeek, M. Alkubaish, and D. Mashima, "Toward Realistic and Efficient Cyber Deception," IEEE Open Journal of the Computer Society, vol. 7, pp. 574–586, 2026, doi: 10.1109/OJCS.2026.3669021.
4. V. K. Singh, "Generative AI-Driven Cybersecurity Deception: A Brief Survey of Large Language Model-Based Honeypots," in 2025 IEEE 2nd Int. Conf. Electrical, Electronics, Communication and Computers (ELEXCOM), 2025, doi: 10.1109/ELEXCOM67950.2025.11451325.
5. Reworr and D. Volkov, "LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild," arXiv preprint arXiv:2410.13919, 2024, rev. Feb. 2025. [Online]. Available: https://arxiv.org/abs/2410.13919
6. A. Javadpour, F. Ja'fari, T. Taleb, M. Shojafar, and C. Benzaïd, "A comprehensive survey on cyber deception techniques to improve honeypot performance," Computers & Security, vol. 140, Art. no. 103792, 2024, doi: 10.1016/j.cose.2024.103792.
7. Ulka Madhukar Bansode, Sharayu Nilesh Patil et.al.,“Securing the Future of Health: A Survey on Data Protection and Privacy Techniques in a Decentralized System”, Taylor & Francis,2025
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  • ISSN 2582-8746
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