LR-HIDS: logistic regression host-based intrusion detection system for cloud environments
Author:
Funder
Shahid Chamran University of Ahvaz
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-018-1093-8.pdf
Reference39 articles.
1. Alpaydin E (2004) Introduction to machine learning. MIT Press, Cambridge
2. Alqahtani SM, Balushi MA, John R (2014) An intelligent intrusion detection system for cloud computing (SIDSCC). In: International conference on computational science and computational intelligence, Las Vegas, March 10–13. https://doi.org/10.1109/CSCI.2014.108
3. Amor NB, Benferhat S, Elouedi Z(2004) Naive Bayes vs decision trees in intrusion detection systems. In: Proceedings of the 2004 ACM symposium on applied computing, Nicosia, pp 420–424. https://doi.org/10.1145/967900.967989
4. Aygun RC, Yavuz AG (2017) Network anomaly detection with stochastically improved autoencoder based models. In: IEEE 4th international conference on cyber security and cloud computing (CSCloud), New York, pp 193–198. https://doi.org/10.1109/CSCloud.2017.39
5. Benzidane K, Khoudali S, Sekkaki A (2013) Secured architecture for inter-VM traffic in a Cloud environment. In: 2nd IEEE Latin American conference on cloud computing and communications, Maceio, Dec 9–10, pp 23–28. https://doi.org/10.1109/LatinCloud.2013.6842218
Cited by 96 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. Enhanced Intrusion Detection Systems Performance with UNSW-NB15 Data Analysis;Algorithms;2024-02-01
2. A novel approach for breast cancer detection using optimized ensemble learning framework and XAI;Image and Vision Computing;2024-02
3. Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security;Computers & Security;2024-02
4. Real-time Cyber-Physical Security Solution Leveraging an Integrated Learning-Based Approach;ACM Transactions on Sensor Networks;2024-01-09
5. Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning;PLOS ONE;2024-01-03
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