Decision Tree Based Network Intrusion Detection for Cyber Security Application
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3466-5_31
Reference11 articles.
1. Ho S, Jufout SA, Dajani K, Mozumdar M (2021) A novel intrusion detection model for detecting known and innovative cyberattacks using convolutional neural network. IEEE Open J Comput Soc 2:14–25. https://doi.org/10.1109/OJCS.2021.3050917
2. Kızıltaş B, Gül E (2020) Network anomaly detection with convolutional neural network based auto encoders. In: 2020 28th signal processing and communications applications conference (SIU), pp 1–4. https://doi.org/10.1109/SIU49456.2020.9302202
3. Kaur G, Habibi Lashkari A, Rahali A (2020) Intrusion traffic detection and characterization using deep image learning. In: 2020 IEEE Intl Conf on dependable, autonomic and secure computing, Intl Conf on pervasive intelligence and computing, Intl Conf on cloud and big data computing, Intl Conf on cyber science and technology congress (DASC/PiCom/CBDCom/CyberSciTech), pp 55–62. https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00025
4. Zhang H, Li Y, Lv Z, Sangaiah AK, Huang T (2020) A real-time and ubiquitous network attack detection based on deep belief network and support vector machine. IEEE/CAA Journal of Automatica Sinica 7(3):790–799. https://doi.org/10.1109/JAS.2020.1003099
5. Efstathopoulos G et al (2019) Operational data based intrusion detection system for smart grid. In: 2019 IEEE 24th international workshop on computer aided modeling and design of communication links and networks (CAMAD), pp 1–6. https://doi.org/10.1109/CAMAD.2019.8858503
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