Evaluation of Reliable Data Storage in Cloud Using an Efficient Encryption Technique

Author:

Sarkar Saswati1,Kundu Anirban2ORCID,Banerjee Ayan1

Affiliation:

1. Computer Innovative Research Society, India

2. Netaji Subhash Engineering College, India

Abstract

Cloud-based reliable and protected data storage technique is proposed in this chapter. The proposed technique encrypts and protects data with less time consumption. Power consumption of storage is dependent upon capacity of storage and physical size of storage. Time analysis is presented graphically in this chapter. Reliable data storage is represented in cloud based proposed approach. Data is encrypted with minimum time complexity due to usage of proposed cloud-based reliable data storage. The competent ratio of time complexity is graphically observed in proposed data storage technique. Power consumption of storage has been typically dependent on the basis of capacity of storage and amount of storage. A ratio of power consumption and capacity of storage is presented in cloud-based approach. An efficient usage of energy is shown depending on current consumption and voltage in proposed reliable approach.

Publisher

IGI Global

Reference23 articles.

1. Cloud-Based DDoS HTTP Attack Detection Using Covariance Matrix Approach

2. A Comprehensive Survey of Fault Tolerance Techniques in Cloud Computing;H.Agarwal;International Conference on Computing and Network Communications (CoCoNet),2016

3. Ahmadi, M., Vali, M., Moghaddam, F., Hakemi, A., & Madadipouya, K. (2015). A Reliable User Authentication and Data Protection Model in Cloud Computing Environments. International Conference on Information, System and Convergence Applications.

4. The impact of big data analytics on business competitiveness;H.Alsghaier;Proceedings of the New Trends in Information Technology,2017

5. Anderson, R., & Biham, E. (1996). Two Practical and Provably Secured Block Ciphers: BEAR and LION. In Fast Software Encryption,Third International Workshop Proceedings. Springer-Verlag.

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