Intrusion Detection Based on PCA with Improved K-Means
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-1677-9_2
Reference21 articles.
1. Papalexakis, E., Beutel, A., Steenkiste, P.: Network anomaly detection using co-clustering. In: 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Istanbul (2012)
2. Tang, P., Jiang, R.-A., Zhao, M.: Feature Selection and design of instrusion detection system based on K-Means and triangle are support vector machine. In: 2010 Second International Conference on Future Networks, Sanya, China (2010)
3. Wang, S.: Reasearch of intrusion detection based on an improved k-means algorithm. 2011 Second International Conference on Innovations in Bio-inspired Computing and Applications, Shenzhen, China (2010)
4. Wankhade, K., Patka, S., Thool, R.: An overview of intrusion detection based on data mining techniques. In: 2013 International Conference on Communication Systems and Network Technologies, Gwalior, India (2013)
5. Liao, H.-J., Lin, R.C.-H., Lin, Y.-C., Tung, K.-Y.: Intrusion detection system: a comprehensive review. J. Netw. Comput. Appl. 36(1), 16–24 (January 2013)
Cited by 5 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. An integrated intrusion detection framework based on subspace clustering and ensemble learning;Computers and Electrical Engineering;2024-04
2. A Chaotic Crow Search Algorithm for Overlapping Clustering;2023 13th International Conference on Computer and Knowledge Engineering (ICCKE);2023-11-01
3. Exploring the Capabilities of a Lightweight CNN Model in Accurately Identifying Renal Abnormalities: Cysts, Stones, and Tumors, Using LIME and SHAP;Applied Sciences;2023-02-28
4. BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model;Journal of Imaging;2023-02-20
5. XA-GANomaly: An Explainable Adaptive Semi-Supervised Learning Method for Intrusion Detection Using GANomaly;Computers, Materials & Continua;2023
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