A framework for the identification of suspicious packets to detect anti-forensic attacks in the cloud environment

Author:

Rani Deevi Radha,Geethakumari G.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference29 articles.

1. Natalie Boyd (2018) 11 Critical Cloud Security Vulnerabilities [online] 27 July. https://www.sdxcentral.com/cloud/definitions/11-critical-cloud-security-vulnerabilities/ (Accessed 16th July 2019)

2. Rajendran PK, Muthukumar B, Nagarajan G (2015) Hybrid intrusion detection system for private cloud: a systematic approach. Procedia Comput Sci 48:325–329

3. J. Lee, M. Park, J. Eom and T. Chung, "Multi-level Intrusion Detection System and log management in Cloud Computing," 13th International Conference on Advanced Communication Technology (ICACT2011), Seoul, 2011, pp. 552–555

4. D. R. Rani and G. G. Kumari, "A framework for detecting anti-forensics in cloud environment," 2016 International Conference on Computing, Communication and Automation (ICCCA), Noida, 2016, pp. 1277-1280

5. Chao Gong and K. Sarac, "IP traceback based on packet marking and logging," IEEE International Conference on Communications, 2005. ICC 2005. 2005, Seoul, 2005, pp. 1043–1047 Vol. 2

Cited by 8 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. Systematic Review: Anti-Forensic Computer Techniques;Applied Sciences;2024-06-19

2. An optimized neural network for prediction of security threats on software testing;Computers & Security;2024-02

3. Tracing footprints of anti-forensics and assuring secured data transmission in the cloud using an effective ECCDH and Kalman Filter;Journal of Network and Computer Applications;2024-01

4. A Systematic Literature Review of Latest Cloud Forensic Frameworks, Tools and Challenges;2023 2nd International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE);2023-11-27

5. To Secure the Cloud Application Using a Novel Efficient Deep Learning-Based Forensic Framework;Journal of Interconnection Networks;2023-06-21

同舟云学术

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