Cloud Database Security Issues and Challenges

Author:

Deka Ganesh Chandra1ORCID

Affiliation:

1. Ministry of Labour and Employment, India

Abstract

To get the desired benefits for the IT enterprise, NoSQL databases must be combined with proven and reliable SQL features into a single proven infrastructure meeting the manageability and security requirements of cloud computing. Various specifications, including SAML (Security Assertions Markup Language), improved interoperability across organizational boundaries are coming up. This chapter discuses some of the security issues of NoSQL databases. All the related technology used in the chapter are explained either where they appear or at the end of the chapter.

Publisher

IGI Global

Reference42 articles.

1. Abramov, J. (n.d.). Security issues in NoSQL Databases. Retrieved from http://jkb.netii.net/index.php/pub/sinosqldb/introduction

2. All Answers Ltd. (2014). Files used in the mongo db computer science essay. UK Essays. Retrieved from http://www.ukessays.com/essays/computer-science/files-used-in-the-mongo-db-computer-science-essay.php

3. Alonso, C., Fernandez, M., Martín, A., & Guzmán, A. (2010). In N. Garbolino (Ed.), Connection string parameter pollution attacks. Arlington, VA: Black hat dc 2010.

4. Amazon Web Services. (2013, November). Amazon Web Services: Overview of Security Processes. Retrieved from http://media.amazonwebservices.com/pdf/AWS_Security_Whitepaper.pdf

5. Apache Software Foundation. (2013). Apache accumulo. Retrieved from https://accumulo.apache.org/

Cited by 2 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. Vulnerability Prioritization, Root Cause Analysis, and Mitigation of Secure Data Analytic Framework Implemented with MongoDB on Singularity Linux Containers;Proceedings of the 2020 the 4th International Conference on Compute and Data Analysis;2020-03-09

2. Security Challenges for Big Data and IoT;Proceedings of the 2020 2nd International Conference on Big Data Engineering and Technology;2020-01-03

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