MetaCloudDataStorage Architecture for Big Data Security in Cloud Computing
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference9 articles.
1. Dev H, Sen T, Basak M, Ali ME. An approach to protect the privacy of cloud data from data mining based attacks. InHigh Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion: 2012 Nov 10 (pp. 1106-1115). IEEE.
2. Inukollu VN, Arsi S, Ravuri SR. Security issues associated with big data in cloud computing. International Journal of Network Security & Its Applications. 2014 May 1;6(3):45.
3. Morrow SU. Data security in the cloud. Cloud Computing: Principles and Paradigms, Edited by Rajkumar Buyya, James Broberg and Andrzej Goscinski Copyright. 2011:573-92.
4. Sharif A, Cooney S, Gong S, Vitek D. Current security threats and prevention measures relating to cloud services, Hadoop concurrent processing, and big data. InBig Data (Big Data), 2015 IEEE International Conference on 2015 Oct 29 (pp. 1865-1870). IEEE.
5. Marchal S, Jiang X, State R, Engel T. A Big Data Architecture for Large Scale Security Monitoring. InBig Data (BigData Congress), 2014 IEEE International Congress on 2014 Jun 27 (pp. 56-63). IEEE.
Cited by 85 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. Deep Siamese domain adaptation convolutional neural network-based quaternion fractional order Meixner moments fostered big data analytical method for enhancing cloud data security;Network: Computation in Neural Systems;2024-06-11
2. Implementation of shallow neural network to intrusion detection system;AIP Conference Proceedings;2024
3. A Model for Big Data Analytics Using Internet of Things and Cybersecurity;2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC);2023-12-19
4. Big Data Analytics for Cybersecurity in IoE Networks;Internet of Things;2023-12-01
5. Cloud Intrusion Detection System Based on Honeynet, Honeywell, Honeypot, and Honeytoken Strategies;Data Science and Network Engineering;2023-11-03
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