Security Enhancement and PaaS platform Authentication in Cloud Computing based On SBA

Author:

Vankdothu Ramdas1,Hameed Mohd Abdul1

Affiliation:

1. Osmania University

Abstract

Abstract One of the most challenging security requirements in a PaaS platform setting is authentication. We provide a new signature-based authenticated key establishment approach for PaaS platform security improvement in this study. It adds a feature to increase confidentiality and non-repudiation by requiring the sender to sign a specific action while sending data from one user to another. It’s signed with the transaction’s private key and a public-key value-based signature generated with the transaction’s public key. Use the public key value-based signature that was generated to authenticate this operation, and the hashing process assures that the operation is immutable. Our proposed solution delivers improved data security, throughput, reaction speed, and a reduction in end-to-end delay and overhead when compared to existing methodologies. The results of the experiments reveal that the proposed system achieves a superior outcome to the existing methods. This project makes use of the MATLAB platform.

Publisher

Research Square Platform LLC

Reference23 articles.

1. Security and privacy for storage and computation in cloud computing;Wei L;Inf. Sci.,2014

2. Panda: Public auditing for shared data with efficient user revocation in the cloud;Wang B;IEEE Trans. Serv. Comput.,2015

3. MuR-DPA: Top-down levelled multi-replica merkle hash tree based secure public auditing for dynamic big data storage on cloud;Liu C;IEEE Trans. Comput.,2015

4. Kumar, R., Singh, G.: “Analysis and design of an optimized secure auditing protocol for storing data dynamically in cloud computing.” Materials Today: Proceedings 5, no. 1 : 1037–1047. (2018)

5. On the security of an efficient dynamic auditing protocol in cloud storage;Ni J;IEEE Trans. Parallel Distrib. Syst.,2014

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