Security and Safety2025，Vol.4Issue(3)：P.68-82,15.DOI:10.1051/sands/2024025
Enhanlcing the accuracy of intrusion detection systems by reducing the rates of false negatives through using XG-boost and optimization algorithm
Noor Saud Abd 1Kamel Karoui 2Mohammed Ghassan Abdulkareem3
作者信息
- 1. Department of Information and Communication Technologies,National School of Engineers of Tunis(ENIT),University of Tunis El-Manar,Tunis 1008,Tunisia Department of Cyber Security,College of Computer Science and Mathematics,Tikrit University,Tikrit 3400,Iraq
- 2. Department of Computer Science and Mathematics,National Institute of Applied Sciences and Technology,Tunis 1080,Tunisia
- 3. Department of Petroleum Project Management,College of Industrial Management of Oil and Gas,Basrah University for Oil and Gas,AI-Basrah 61004,Iraq
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摘要
关键词
Catboost algorithm/Intrussion detection/Cyber security/XG-boost algorithm分类
信息技术与安全科学引用本文复制引用
Noor Saud Abd,Kamel Karoui,Mohammed Ghassan Abdulkareem..Enhanlcing the accuracy of intrusion detection systems by reducing the rates of false negatives through using XG-boost and optimization algorithm[J].Security and Safety,2025,4(3):P.68-82,15.
