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16 January 2025 Enhanced Bayesian network classifier for intrusion detection: integrating semilazy learning and multiconditional entropy
Yang Liu, Qi Wu, Xu Zhang
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Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 1344709 (2025) https://doi.org/10.1117/12.3047860
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China
Abstract
In the rapidly evolving landscape of cybersecurity, the need for sophisticated intrusion detection is paramount. Traditional methods often struggle to keep pace with the complexity and diversity of emerging threats. This paper presents an enhanced Bayesian network classifier (EBNC), integrating a semi-lazy learning framework and multi-conditional entropy to enhance the accuracy and efficiency of intrusion detection. The EBNC dynamically constructs class-specific local classifiers for each testing instance, thereby optimizing the decision-making process. It also employs multi-conditional entropy to quantify causal and conditional dependencies implicated in each testing instance. Experiments conducted on the NSL-KDD dataset demonstrate that the EBNC outperforms alternative algorithms with respect to the 0-1 loss, bias, F1 score, as well as training and classification time. These results highlight the EBNC's efficiency and accuracy in intrusion detection, demonstrating its adaptability to new threats and its capacity for rapid, informed responses in the expanding field of cybersecurity.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yang Liu, Qi Wu, and Xu Zhang "Enhanced Bayesian network classifier for intrusion detection: integrating semilazy learning and multiconditional entropy", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 1344709 (16 January 2025); https://doi.org/10.1117/12.3047860
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KEYWORDS
Machine learning
Computer intrusion detection
Cross validation
Cyberattacks
Decision making
Network security
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