An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-73050-5_27
Reference21 articles.
1. Aggarwal, C.C., Yu, P.S.: Outlier detection for high dimensional data. In: Proceedings of the 2001 ACM SIGMOD International Conference on Management of data, pp. 37–46 (2001)
2. Ben-Gal, I.: Outlier detection. In: Data Mining and Knowledge Discovery Handbook, pp. 131–146. Springer (2005)
3. Bhosale, S.: Network intrusion detection, October 2018. https://www.kaggle.com/sampadab17/network-intrusion-detection
4. Buczak, A.L., Guven, E.: A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Commun. Surv. Tutor. 18(2), 1153–1176 (2015)
5. Liu, F.T., Ting, K.M., Zhou, Z.H.: Isolation forest. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 413–422. IEEE (2008)
Cited by 10 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. Concrete aging factor prediction using machine learning;Materials Today Communications;2024-08
2. Machine Learning in Cybersecurity: Advanced Detection and Classification Techniques for Network Traffic Environments;EAI Endorsed Transactions on Industrial Networks and Intelligent Systems;2024-07-01
3. Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model;Water Research;2024-05
4. Utilizing ensemble learning in the classifications of ductile and brittle failure modes of UHPC strengthened RC members;Archives of Civil and Mechanical Engineering;2024-03-19
5. An Evolutionary Machine Learning Approach to Outlier Detec-Tion Based on Weighted Sum Model with Automatic Weight Discovery by Slsl-Qpso;2024
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