Performance testing on Transparent Data Encryption for SQL Server's reliability and efficiency

Author:

Madyatmadja Evaristus DidikORCID,Hakim Aditya Nur,Sembiring David Jumpa Malem

Abstract

AbstractData security is being one of the most crucial aspects to be focused on system development. However, using such a feature to enhance the security of data might affect the system's performance. This study aims to observe how substantial Transparent Data Encryption as a solution for data security on Microsoft SQL Server will affect the database management system's performance. Each of the system performance is conducted with stress and load test. This paper concentrates on the upsides of using Transparent Data Encryption over standard database by finding how significant performance degradation has occurred in terms of Reliability and Efficiency.

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Reference30 articles.

1. Gupta B, Mittal A. Introduction to database management system. Delhi: University Science Press; 2017.

2. Jagadish H, Chapman A, Elkiss A, Jayapandian M, Li Y, Nandi A, Yu C. Making database systems usable. In: Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data. 2007; p. 13–24.

3. Deshmukh APAG. Transparent data encryption—solution for security of database. Int J Adv Comput Sci Appl. 2011, p. 25–27.

4. Cherry D. Securing SQL Server: protecting your database from attackers. Burlington: Syngress; 2011.

5. Mattson UT, A practical implementation of transparent encryption and separation of duties in enterprise databases: protection against external and internal attacks on databases. Seventh IEEE International Conference on E-Commerce Technology (CEC'05). 2004; p. 559–565.

Cited by 3 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

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