Detecting anomalous traffic in the controlled network based on cross entropy and support vector machine
Author:
Affiliation:
1. School of Computer, Beijing Institute of TechnologyBeijingPeople's Republic of China
2. School of Space Information, Space Engineering UniversityBeijingPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Networks and Communications,Information Systems,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ifs.2018.5186
Reference33 articles.
1. A survey of network anomaly detection techniques
2. Kaur R. Nagpal E.S. Chamotra S.: ‘Malicious traffic detection in a private organizational network using honeynet system’.Annual IEEE India Conf. New Delhi India December2015 pp.1–6
3. OCPAD: one class naive Bayes classifier for payload based anomaly detection;Swarnkar M.;Expert Syst. Appl.,2016
4. Li W. Li Q.X.: ‘Using naive Bayes with AdaBoost to enhance network anomaly intrusion detection’.IEEE Int. Conf. on Intelligent Networks & Intelligent Systems Shenyang China November2010 pp.486–489
5. Anomaly detection by Naive Bayes & RBF network;Ahirwar D.K.;Int. J. Adv. Res. Comput. Sci. Electron. Eng.,2012
Cited by 28 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. Safeguarding cyberspace: Enhancing malicious website detection with PSO optimized XGBoost and firefly-based feature selection;Computers & Security;2024-07
2. MFL-RAT: Multi-class Few-Shot Learning Method for Encrypted RAT Traffic Detection;Lecture Notes in Computer Science;2024
3. Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model;IEEE Access;2024
4. Analysis of Machine Learning Application in Campus Network Traffic Anomaly Detection;Applied Mathematics and Nonlinear Sciences;2024-01-01
5. Detection of Malicious Network Traffic Attacks Using Support Vector Machine;Communications in Computer and Information Science;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