IDS-EFS: Ensemble feature selection-based method for intrusion detection system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15977-8.pdf
Reference31 articles.
1. Selvakumar, B, Muneeswaran, K: Firefly algorithm based feature selection for network intrusion detection. Computers and Security 81, 148–155 (2019). https://doi.org/10.1016/j.cose.2018.11.005
2. Akhiat Y, Chahhou M, Zinedine A (2019) Ensemble feature selection algorithm. International Journal of Intelligent Systems and Applications. https://doi.org/10.5815/IJISA.2019.01.03
3. Akhiat Y, Manzali Y, Chahhou M, Zinedine A (2021) A new noisy random forest based method for feature selection. Cybernetics and Information Technologies 21:10–28. https://doi.org/10.2478/cait-2021-0016
4. Wallace, B.O.C.W.D.O.G.C.H.L.J.-P.P.M.C.O.C.P.W.S.: Symantec internet security threat report: Trends for 2019. Symantec Corp 24, 1–14 (2019)
5. Khraisat, A., Gondal, I., Vamplew, P., Kamruzzaman, J.: Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity 2(1), 1–22 (2019). https://doi.org/10.1186/s42400-019-0038-7
Cited by 11 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. Learning from high-dimensional cyber-physical data streams: a case of large-scale smart grid;International Journal of Machine Learning and Cybernetics;2024-09-02
2. Advanced design of high-performance artificial neuromorphic electronics;Materials Today;2024-09
3. A Network Intrusion Detection Method Based on Bagging Ensemble;Symmetry;2024-07-05
4. Comparison of Supervised Machine Learning Algorithms with Bagged-Ensemble Method for Intrusion Detection;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21
5. A Machine Learning-Based Framework with Enhanced Feature Selection and Resampling for Improved Intrusion Detection;Mathematics;2024-06-09
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3