
Security testing tool for NoSQL systems
Other Title(s)
أداة اختبار الأمان لأنظمة NoSQL
Joint Authors
Lul, Muhammad Amin
Salih, Mustafa al-Sayyid
Source
Journal of King Abdulaziz University : Computing and Information Technology Sciences
Issue
Vol. 8, Issue 1 (30 Jun. 2019), pp.85-93, 9 p.
Publisher
King Abdul Aziz University Faculty of Computing and Information Technology
Publication Date
2019-06-30
Country of Publication
Saudi Arabia
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
NoSQL systems are becoming more popular due to their inherent advantages and solutions it provides to the limits of a relational database.
However, despite its benefits, it comes with security challenges.
In this paper, an input validation mechanism architecture is proposed for Mongo DB to detect and prevent NoSQL injection attacks, the mechanism employs a Deterministic Finite Automaton (DFA) approach to detect and prevent attacks on NoSQL systems.
Furthermore, a security comparison of some NoSQL systems is provided based on recent literature.
The security features compared are authentication, authorization, data encryption and input validation.
The proposed mechanism will improve the security of Mongo DB system because invalid inputs requests will be detected and prevented from being processed.
American Psychological Association (APA)
Lul, Muhammad Amin& Salih, Mustafa al-Sayyid. 2019. Security testing tool for NoSQL systems. Journal of King Abdulaziz University : Computing and Information Technology Sciences،Vol. 8, no. 1, pp.85-93.
https://search.emarefa.net/detail/BIM-932935
Modern Language Association (MLA)
Lul, Muhammad Amin& Salih, Mustafa al-Sayyid. Security testing tool for NoSQL systems. Journal of King Abdulaziz University : Computing and Information Technology Sciences Vol. 8, no. 1 (2019), pp.85-93.
https://search.emarefa.net/detail/BIM-932935
American Medical Association (AMA)
Lul, Muhammad Amin& Salih, Mustafa al-Sayyid. Security testing tool for NoSQL systems. Journal of King Abdulaziz University : Computing and Information Technology Sciences. 2019. Vol. 8, no. 1, pp.85-93.
https://search.emarefa.net/detail/BIM-932935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 92-93
Record ID
BIM-932935