Anomaly Detection Dataset for Industrial Control Systems
Author:
Affiliation:
1. RISE Research Institute, Västerås, Sweden
2. School of Innovation, Design and Engineering, Mälardalens University, Västerås, Sweden
Funder
H2020 ECSEL EU project Intelligent Secure Trustable Things
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10267968.pdf?arnumber=10267968
Reference51 articles.
1. Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations;umer;Int J Crit Infrastructure Protection,2022
2. An intrusion detection system based on combining probability predictions of a tree of classifiers
3. Benchmark datasets for network intrusion detection: A review;hamid;Int J Netw Secur,2018
4. Deep Learning-based Anomaly Detection in Cyber-physical Systems
5. Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
Cited by 10 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 Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems;Big Data Mining and Analytics;2024-06
2. Comparative Analysis of Cybersecurity Datasets in Industrial Control Systems;2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT);2024-05-29
3. Explainable Intrusion Detection in Industrial Control Systems;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12
4. Securing Critical Infrastructure: A Denoising Data-Driven Approach for Intrusion Detection in ICS Network;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19
5. Next-Generation Iiot Security: Comprehensive Comparative Analysis of Cnn-Based Approaches;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