A Systematic and Comprehensive Survey of Recent Advances in Intrusion Detection Systems Using Machine Learning: Deep Learning, Datasets, and Attack Taxonomy
Author:
Affiliation:
1. School of Computing Engineering and Physical Sciences, University of the West of Scotland, Paisley, PA1 2BE, UK
2. School of Computing, Edinburgh Napier University, Edinburgh, EH10 5DT, UK
Abstract
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering
Link
http://downloads.hindawi.com/journals/js/2023/6048087.pdf
Reference88 articles.
1. A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges
2. Internet of things: Vision, applications and research challenges
3. Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset
4. A feature reduced intrusion detection system using ANN classifier
5. An Investigation on Intrusion Detection System Using Machine Learning
Cited by 5 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. AI-enhanced security demand and routing management for MANETs with optical technologies;Optical and Quantum Electronics;2023-12-21
2. Design Thinking –An Effective Method for Enhancing Intrusion Detection Systems through Hyper parameter Tuning in Deep Learning;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11
3. Optimizing Intrusion Detection Systems in Three Phases on the CSE-CIC-IDS-2018 Dataset;Computers;2023-11-24
4. A Network Intrusion Detection Model Based on BiLSTM with Multi-Head Attention Mechanism;Electronics;2023-10-08
5. A Hybrid Modified Deep Learning Architecture for Intrusion Detection System with Optimal Feature Selection;Electronics;2023-09-27
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