Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

Published:2020-03 Issue:5 Volume:14 Page:888-895
ISSN:1751-8636
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Nancy Periasamy¹,Muthurajkumar S.²,Ganapathy S.³,Santhosh Kumar S.V.N.⁴,Selvi M.⁵,Arputharaj Kannan⁵

Affiliation:

1. Department of Computer TechnologyMIT CampusAnna UniversityChennai600044India

2. Department of Computer TechnologyAnna UniversityMIT CampusChennaiIndia

3. School of Computing Science and EngineeringVellore Institute of TechnologyChennaiIndia

4. School of Information Technology and EngineeringVellore Institute of TechnologyVelloreIndia

5. School of Computer Science and EngineeringVellore Institute of TechnologyVelloreIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2019.0172

Reference29 articles.

1. A hybrid intrusion detection system based on ABC-AFS algorithm for misuse and anomaly detection

2. Adaptive and online network intrusion detection system using clustering and extreme learning machines;Roshan S.;J. Franklin Inst.,2018

3. A feature reduced intrusion detection system using ANN classifier;Akashdeep Manzoor I.;Expert Syst. Appl.,2017

4. Dealing with high‐dimensional class‐imbalanced datasets: embedded feature selection for SVM classification;Maldonadoa S.;Appl. Soft Comput.,2018

5. An Introduction to Neural Networks

Cited by 132 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. Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems;Engineering Applications of Artificial Intelligence;2024-11

2. Batch reinforcement learning approach using recursive feature elimination for network intrusion detection;Engineering Applications of Artificial Intelligence;2024-10

3. Integrating deep learning and metaheuristics algorithms for blockchain-based reassurance data management in the detection of malicious IoT nodes;Peer-to-Peer Networking and Applications;2024-09-05

4. Dos attack detection using fuzzy temporal deep long Short-Term memory algorithm in wireless sensor network;Ain Shams Engineering Journal;2024-09

5. FWICSS-Federated Watermarked Ideal Client Selection Strategy for Internet of Things (IoT) Intrusion Detection System;Wireless Personal Communications;2024-08

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

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