A Collaborative Intrusion Detection System Using Deep Blockchain Framework for Securing Cloud Networks
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-55180-3_41
Reference44 articles.
1. Patel, A., Taghavi, M., Bakhtiyari, K., Júnior, J.C.: An intrusion detection and prevention system in cloud computing: a systematic review. J. Netw. Comput. Appl. 36(1), 25–41 (2013)
2. Ahmed, M., Mahmood, A.N., Hu, J.: A survey of network anomaly detection techniques. J. Netw. Comput. Appl. 60, 19–31 (2016)
3. Alkadi, O.S., Moustafa, N., Turnbull, B., Choo, K.-K.R.: An ontological graph identification method for improving localisation of IP prefix Hijacking in network systems. IEEE Trans. Inf. Forensics Secur. 15, 1164–1174 (2019)
4. Aitzhan, N.Z., Svetinovic, D.: Security and privacy in decentralized energy trading through multi-signatures, blockchain and anonymous messaging streams. IEEE Trans. Depend. Secure Comput. 15(5), 840–852 (2016)
5. Sayeed, S., Marco-Gisbert, H.: Assessing blockchain consensus and security mechanism against the 51% attack. Appl. Sci. 9(9), 1788 (2019)
Cited by 6 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. Convolutional neural network for intrusion detection using blockchain technology;International Journal of Computers and Applications;2023-11-28
2. Cauchy Grasshopper Optimization Algorithm with Deep Learning Model for Cloud Enabled Cyber Threat Detection System;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17
3. Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment;International Journal of Machine Learning and Cybernetics;2023-02-01
4. SecFedIDM-V1: A Secure Federated Intrusion Detection Model With Blockchain and Deep Bidirectional Long Short-Term Memory Network;IEEE Access;2023
5. Improved security in cloud using sandpiper and extended equilibrium deep transfer learning based intrusion detection;Cluster Computing;2022-01-28
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