Security of NoSQL Database Against Intruders

Author:

Ahmad Khaleel1,Alam Mohammad Shoaib1,Udzir Nur Izura2

Affiliation:

1. School of Computer Science and Information Technology, Maulana Azad National Urdu University, Hyderabad, India

2. Faculty of Computer Science and Information Technology, University Putra Malaysia, Seri Kembangan, Malaysia

Abstract

Background: The evolution of distributed web-based applications and cloud computing has brought about the demand to store a large amount of big data in distributed databases. Such efficient systems offer excessive availability and scalability to users. The new type of database resolves many new challenges especially in large-scale and high concurrency applications which are not present in the relational database. NoSQL refers to non-relational databases that are different from the Relational Database Management System. Objective: NoSQL has many features over traditional databases such as high scalability, distributed computing, lower cost, schema flexibility, semi or un-semi structural data and no complex relationship. Method: NoSQL databases are “BASE” Systems. The BASE (Basically Available, Soft state, Eventual consistency), formulates the CAP theorem the properties of which are used by BASE System. The distributed computer system cannot guarantee all of the following three properties at the same time that is consistency, availability and partition tolerance. Results: As progressively sharp big data is saved in NoSQL databases, it is essential to preserve higher security measures to ensure safe and trusted communication across the network. In this patent, we describe the security of NoSQL database against intruders which is growing rapidly. Conclusion: This patent also defines probably the most prominent NoSQL databases and describes their security aspects and problems.

Publisher

Bentham Science Publishers Ltd.

Subject

General Engineering

Reference5 articles.

1. Altrafi OG, Ismail MOO. Relational . NoSQL databases: A survey.

2. Hossain SA. NoSQL database: New era of databases for big data analytics classification, characteristics and comparison.

3. . NoSQL Databases: New millennium database for big data, big users, cloud computing and its security challenges.

4. Gupta BB, Atawneh S, Meulenberg A, Almomani E. A survey of phishing email filtering techniques.

5. Awasthi LK. XTR Cryptosystem for SMS security.

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. Data protection in heterogeneous big data systems;Journal of Computer Virology and Hacking Techniques;2023-04-04

2. Bivariate, cluster, and suitability analysis of NoSQL solutions for big graph applications;Advances in Computers;2023

3. Cloud based evaluation of databases for stock market data;Journal of Cloud Computing;2022-09-29

4. 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

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

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