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Adaptive Honeypot Deployment Strategy for IoT Networks Using Reinforcement Learning and Adversarial Game Theory

Prof. Amara Okafor; Dr. Kenjiro Takahashi; Dr. Elena Rostova — SciMatic Journal of Cybersecurity and Digital Forensics (2026)

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APA APA 7th

Okafor, P. A., Takahashi, D. K., & Rostova, D. E. (2026). Adaptive Honeypot Deployment Strategy for IoT Networks Using Reinforcement Learning and Adversarial Game Theory. SciMatic Journal of Cybersecurity and Digital Forensics, 1(1), 57-62.

MLA MLA 9th

Okafor, Prof. Amara, et al.. "Adaptive Honeypot Deployment Strategy for IoT Networks Using Reinforcement Learning and Adversarial Game Theory." SciMatic Journal of Cybersecurity and Digital Forensics, vol. 1, no. 1, 2026, pp. 57-62.

CHI Chicago

Okafor, Prof. Amara, Dr. Kenjiro Takahashi, and Dr. Elena Rostova. "Adaptive Honeypot Deployment Strategy for IoT Networks Using Reinforcement Learning and Adversarial Game Theory." SciMatic Journal of Cybersecurity and Digital Forensics 1, no. 1 (2026): 57-62.

HAR Harvard

Okafor, P. A., Takahashi, D. K. & Rostova, D. E. (2026) 'Adaptive Honeypot Deployment Strategy for IoT Networks Using Reinforcement Learning and Adversarial Game Theory', SciMatic Journal of Cybersecurity and Digital Forensics, 1(1), pp. 57-62.

IEEE IEEE

P. A. Okafor, D. K. Takahashi, and D. E. Rostova, "Adaptive Honeypot Deployment Strategy for IoT Networks Using Reinforcement Learning and Adversarial Game Theory," SciMatic Journal of Cybersecurity and Digital Forensics, vol. 1, no. 1, pp. 57-62, 2026.

VAN Vancouver

Okafor PA, Takahashi DK, Rostova DE. Adaptive Honeypot Deployment Strategy for IoT Networks Using Reinforcement Learning and Adversarial Game Theory. SciMatic Journal of Cybersecurity and Digital Forensics. 2026;1(1):57-62.

BIB BibTeX

@article{prof2026,
  title     = {Adaptive Honeypot Deployment Strategy for IoT Networks Using Reinforcement Learning and Adversarial Game Theory},
  author    = {Prof. Amara Okafor and Dr. Kenjiro Takahashi and Dr. Elena Rostova},
  journal   = {SciMatic Journal of Cybersecurity and Digital Forensics},
  volume    = {1},
  number    = {1},
  pages     = {57-62},
  year      = {2026},
}