Epilson Swarm Optimized Cluster Gradient and deep belief classifier for multi-attack intrusion detection in MANET
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03169-x.pdf
Reference21 articles.
1. Abdollahi A, Fathi M (2020) An intrusion detection system on ping of death attacks in iot networks. Wirel Pers Commun 112:2057–2070
2. Akhtar N, Khan MA, Ullah A, Javed MY (2019) Congestion avoidance for smart devices by caching information in manets and IoT. IEEE Access 7:71459–71471
3. Al-Jarrah OY, Maple C, Dianati M, Oxtoby D, Mouzakitis A (2019) Intrusion detection systems for intra-vehicle networks: a review. IEEE Access 7:21266–21289
4. Aloqaily M, Otoum S, Al Ridhawi I, Jararweh Y (2019) An intrusion detection system for connected vehicles in smart cities. Ad Hoc Netw 90:101842
5. Cherkaoui B, Beni-hssane A, Erritali M (2020) Variable control chart for detecting black hole attack in vehicular ad-hoc networks. J Ambient Intell Humaniz Comput 11(11):5129–5138
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 security mechanism in mobile Ad-Hoc networks using precision probability genetic algorithms (PPGA) and deep learning technique (Stacked LSTM);Sustainable Computing: Informatics and Systems;2024-09
2. Stacked autoencoder with weighted loss function for intrusion detection in IoT application;Multimedia Tools and Applications;2024-08-13
3. Weighted cluster in mobile ad hoc network using enhanced long short‐term memory‐based squid game optimizer concept;International Journal of Communication Systems;2024-04-02
4. Multi head self-attention gated graph convolutional network based multi‑attack intrusion detection in MANET;Computers & Security;2024-01
5. A Survey on Cyber Attack Detection: Techniques, Datasets, and Challenge;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01
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