DFE: efficient IoT network intrusion detection using deep feature extraction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06826-6.pdf
Reference45 articles.
1. Fan J, Zhang Y, Wen W, Gu S, Lu X, Guo X (2021) The future of Internet of Things in agriculture: plant high-throughput phenotypic platform. J Clean Prod 280:123651
2. Philip NY, Rodrigues JJ, Wang H, Fong SJ, Chen J (2021) Internet of Things for in-home health monitoring systems: current advances, challenges and future directions. IEEE J Sel Areas Commun 39(2):300–310
3. Oniani S, Marques G, Barnovi S, Pires IM, Bhoi AK (2021) Artificial intelligence for internet of things and enhanced medical systems. In: Bhoi Akash Kumar, Mallick Pradeep Kumar, Liu Chuan-Ming, Balas Valentina E (eds) Bio-inspired Neurocomputing. Springer Singapore, Singapore, pp 43–59. https://doi.org/10.1007/978-981-15-5495-7_3
4. Gopikumar S, Raja S, Robinson YH, Shanmuganathan V, Chang H, Rho S (2021) A method of landfill leachate management using internet of things for sustainable smart city development. Sustain Cities Soc 66:102521
5. Sohi SM, Seifert J-, Ganji F (2021) RNNIDS: Enhancing network intrusion detection systems through deep learning. Comp Secur 102:102151
Cited by 15 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. Securing IoT networks: A robust intrusion detection system leveraging feature selection and LGBM;Peer-to-Peer Networking and Applications;2024-06-07
2. Network security AIOps for online stream data monitoring;Neural Computing and Applications;2024-05-11
3. A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks;Journal of King Saud University - Computer and Information Sciences;2024-01
4. Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey;IEEE Communications Surveys & Tutorials;2024
5. TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks;Computer Networks;2023-12
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