Detecting IoT botnets based on the combination of cooperative game theory with deep and machine learning approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03185-x.pdf
Reference57 articles.
1. Abadi M et al (2016) Tensorflow: a system for large-scale machine learning. OSDI 16:265–283
2. An N, Duff A, Naik G, Faloutsos M, Weber S, Mancoridis S (2017) Behavioral anomaly detection of malware on home routers. In: 12th International conference on malicious and unwanted software (MALWARE)
3. Arnaldo I, Cuesta-Infante A, Arun A, Lam M, Bassias C, Veeramachaneni K (2017) Learning representations for log data in cybersecurity. In: International conference on cyber security cryptography and machine learning, pp 250–268
4. Asadi M, Jabraeil Jamali MA, Parsa S, Majidnezhad V (2020) Detecting botnet by using particle swarm optimization algorithm based on voting system. Future Gener Comput Syst 107:95–111. https://doi.org/10.1016/J.FUTURE.2020.01.055
5. Bartlett G, Heidemann J, Papadopoulos C (2007) Understanding passive and active service discovery. In: Proceedings of the 7th ACM SIGCOMM conference on internet measurement - IMC ’07. https://doi.org/10.1145/1298306.1298314
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 comprehensive survey on deep learning‐based intrusion detection systems in Internet of Things (IoT);Expert Systems;2024-09-14
2. Deep learning-based public transit passenger flow prediction model: integration of weather and temporal attributes;Public Transport;2024-08-15
3. Design of a novel intelligent adaptive fractional-order proportional-integral-derivative controller for mitigation of seismic vibrations of a building equipped with an active tuned mass damper;Smart Materials and Structures;2024-08-09
4. Customized convolutional neural network model for IoT botnet attack detection;Signal, Image and Video Processing;2024-06-17
5. A lightweight IoT intrusion detection model based on improved BERT-of-Theseus;Expert Systems with Applications;2024-03
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