Intelligent Intrusion Detection Scheme for Smart Power-Grid Using Optimized Ensemble Learning on Selected Features
Author:
Publisher
Elsevier BV
Subject
Information Systems and Management,Computer Science Applications,Safety, Risk, Reliability and Quality,Modeling and Simulation
Reference67 articles.
1. Enhancing SVM performance in intrusion detection using optimal feature subset selection based on genetic principal components;Ahmad;Neural Comput. Appl.,2014
2. Using feature selection for intrusion detection system;Alazab,2012
3. A Modified Grey Wolf Optimization Algorithm for an Intrusion Detection System;Alzaqebah;Mathematics,2022
4. Intrusion detection system based on a modified binary grey wolf optimisation;Alzubi;Neural Comput. Appl.,2020
5. Intrusion detection system based on hybridizing a modified binary grey wolf optimization and particle swarm optimization;Alzubi;Expert Syst. Appl.,2022
Cited by 18 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. A semantic model based on ensemble learning and attribute-based encryption to increase security of smart buildings in fog computing;The Journal of Supercomputing;2024-08-29
2. Kalman reinforcement learning-based provably secured smart grid false data intrusion detection and resilience enhancement;Electrical Engineering;2024-08-25
3. EL-FAM: Power System Intrusion Detection with Ensemble Learning for False Alarm Mitigation;2024 International Conference on Computer, Information and Telecommunication Systems (CITS);2024-07-17
4. SRI: A Simple Rule Induction Method for improving resiliency of DNN based IDS against adversarial and zero-day attacks;Proceedings of the 10th ACM Cyber-Physical System Security Workshop;2024-07
5. 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
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