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SD-Honeypot Integration for Mitigating DDoS Attack Using Machine Learning Approaches

https://doi.org/10.30630/joiv.6.1.853
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inferred← citeshttps://doi.org/10.2139/ssrn.4651305openalex-extracted
A Ddos Attack Detection Framework: Leveraging Feature Selection Integration and Random Forest Optimization for Improved Security
inferred← citeshttps://doi.org/10.1007/978-3-031-58953-9_19openalex-snapshot
Attack Classification Using Machine Learning Techniques in Software-Defined Networking
inferred← citeshttps://doi.org/10.1007/s10586-024-04596-zopenalex-snapshot
A comprehensive survey on DDoS detection, mitigation, and defense strategies in software-defined networks
inferred← citeshttps://doi.org/10.1007/s10791-026-10050-yopenalex-snapshot
A systematic literature review on the accuracy of machine learning based DDoS detection techniques in Software Defined Networking
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103792openalex-snapshot
A comprehensive survey on cyber deception techniques to improve honeypot performance
inferred← citeshttps://doi.org/10.1109/i2ct61223.2024.10543399openalex-snapshot
Integrating Machine Learning-Powered Smart Agents into Cyber Honeypots: Enhancing Security Frameworks
inferred← citeshttps://doi.org/10.3390/electronics12041059openalex-snapshot
A DDoS Attack Detection Method Based on Natural Selection of Features and Models
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