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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Dmytro S. Morozov, Andrii A. Yefimenko, Tetiana M. Nikitchuk, Roman O. Kolomiiets, Serhiy O. Semerikov
Format: Article
Language:English
Published: Academy of Cognitive and Natural Sciences 2024-11-01
Series:Journal of Edge Computing
Subjects:
adaptive honeypots
IoT security
deception technology
machine learning
intrusion detection
evaluation metrics
Online Access:https://acnsci.org/journal/index.php/jec/article/view/607
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://acnsci.org/journal/index.php/jec/article/view/607

Similar Items