Machine Learning Based Model to Identify Firewall Decisions to Improve Cyber-Defense
Author:
Publisher
Insight Society
Subject
General Engineering,General Agricultural and Biological Sciences,General Computer Science
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An Enhanced Feature-Based Hybrid Approach for Adversarial PDF Malware Detection;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02
2. Comparative Analysis of Anomaly Detection Approaches in Firewall Logs: Integrating Light-Weight Synthesis of Security Logs and Artificially Generated Attack Detection;Sensors;2024-04-20
3. Evaluation of the Omni-Secure Firewall System in a Private Cloud Environment;Knowledge;2024-04-02
4. PDF Malware Detection: Toward Machine Learning Modeling With Explainability Analysis;IEEE Access;2024
5. Hybrid Efficient IDS Against Adversarial Attacks in IoT Networks;IFIP Advances in Information and Communication Technology;2024
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