EL-FAM: Power System Intrusion Detection with Ensemble Learning for False Alarm Mitigation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

EL-FAM: Power System Intrusion Detection with Ensemble Learning for False Alarm Mitigation

Published:2024-07-17 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Computer, Information and Telecommunication Systems (CITS)
language:
Short-container-title:

Author:

Bhavsar Ansh¹,Agvan Sezan¹,Ramoliya Fenil¹,Obaidiat Mohammad S.²,Gupta Rajesh¹,Tanwar Sudeep¹,Hsiao Kuei-Fang³

Affiliation:

1. Institute of Technology, Nirma University,Department of Computer Science and Engineering,India

2. Distinguished Professor at the King Abdullah II School of Information Technology, The University of Jordan

3. King Abdullah II School of Information Technology, The University of Jordan,Amman,Jordan,11942

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10608004/10607978/10607986.pdf?arnumber=10607986

Reference13 articles.

1. Research on network intrusion detection method of power system based on random forest algorithm

2. Intelligent Intrusion Detection Scheme for Smart Power-Grid Using Optimized Ensemble Learning on Selected Features

3. Dependable intrusion detection system using deep convolutional neural network: A Novel framework and performance evaluation approach

4. Cost of cyber crime study,2020

5. Deep Learning-Based Malicious Smart Contract and Intrusion Detection System for IoT Environment

同舟云学术

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