A K-Means clustering and SVM based hybrid concept drift detection technique for network anomaly detection
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference62 articles.
1. Alaei, P., Noorbehbahani, F. (2017). Incremental anomaly-based intrusion detection system using limited labeled data. In: 2017 3th International Conference on Web Research (ICWR) 2017 Apr 19: IEEE, 178-184. doi: 10.1109/ICWR.2017.7959324.
2. An optimization model for clustering categorical data streams with drifting concepts;Bai;IEEE Transactions on Knowledge and Data Engineering,2016
3. An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization;Bamakan;Neurocomputing,2016
4. Neighbourhood sampling in bagging for imbalanced data;Błaszczyński;Neurocomputing,2015
5. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection;Buczak;IEEE Communications Surveys & Tutorials,2016
Cited by 54 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. Enhancing anomaly detection Efficiency: Introducing grid searchbased multi-population particle Swarm optimization algorithm based optimized Regional based Convolutional neural network for robust and scalable solutions in High-Dimensional data;Biomedical Signal Processing and Control;2024-10
2. Drift-based task management in support of pervasive edge applications;Internet of Things;2024-10
3. Fast Learning Enabled by In-Network Drift Detection;Proceedings of the 8th Asia-Pacific Workshop on Networking;2024-08-03
4. Research on concept drift algorithm based on evolutionary computation;Discover Applied Sciences;2024-08-02
5. ASOD: an adaptive stream outlier detection method using online strategy;Journal of Cloud Computing;2024-07-05
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