Securing Relational Databases against Security Vulnerabilities: A Case of Microsoft SQL Server and PostgreSQL.

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Title: Securing Relational Databases against Security Vulnerabilities: A Case of Microsoft SQL Server and PostgreSQL.
Authors: Kilavo, Hassan1 (AUTHOR), Mrutu, Salehe I.1 (AUTHOR), Dudu, Robert G.2 (AUTHOR)
Source: Journal of Applied Security Research. Jul-Sep2023, Vol. 18 Issue 3, p421-435. 15p.
Subject Terms: Relational databases, Database security, SQL, Web-based user interfaces, Data security failures
Abstract: This study evaluates mechanisms to secure relational databases against security vulnerabilities and utilized PostgreSQL and Microsoft SQL Server due to data breach incidences reported across the world. Emulation experiments with documentary review were employed to collect necessary study data. Identification of security features and vulnerabilities that are found to affect the data tier of the web applications were examined. The findings from the study have shown that Microsoft SQL Server is more security feature-rich in terms of Confidentiality, Integrity, and Availability compared to PostgreSQL and Microsoft SQL Server is more resilient to security attacks in its default behavior compared to PostgreSQL. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Applied Security Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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PubTypeId: academicJournal
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  Data: Securing Relational Databases against Security Vulnerabilities: A Case of Microsoft SQL Server and PostgreSQL.
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  Data: <searchLink fieldCode="AR" term="%22Kilavo%2C+Hassan%22">Kilavo, Hassan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mrutu%2C+Salehe+I%2E%22">Mrutu, Salehe I.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dudu%2C+Robert+G%2E%22">Dudu, Robert G.</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Security+Research%22">Journal of Applied Security Research</searchLink>. Jul-Sep2023, Vol. 18 Issue 3, p421-435. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Relational+databases%22">Relational databases</searchLink><br /><searchLink fieldCode="DE" term="%22Database+security%22">Database security</searchLink><br /><searchLink fieldCode="DE" term="%22SQL%22">SQL</searchLink><br /><searchLink fieldCode="DE" term="%22Web-based+user+interfaces%22">Web-based user interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Data+security+failures%22">Data security failures</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study evaluates mechanisms to secure relational databases against security vulnerabilities and utilized PostgreSQL and Microsoft SQL Server due to data breach incidences reported across the world. Emulation experiments with documentary review were employed to collect necessary study data. Identification of security features and vulnerabilities that are found to affect the data tier of the web applications were examined. The findings from the study have shown that Microsoft SQL Server is more security feature-rich in terms of Confidentiality, Integrity, and Availability compared to PostgreSQL and Microsoft SQL Server is more resilient to security attacks in its default behavior compared to PostgreSQL. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Applied Security Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/19361610.2021.2006032
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 421
    Subjects:
      – SubjectFull: Relational databases
        Type: general
      – SubjectFull: Database security
        Type: general
      – SubjectFull: SQL
        Type: general
      – SubjectFull: Web-based user interfaces
        Type: general
      – SubjectFull: Data security failures
        Type: general
    Titles:
      – TitleFull: Securing Relational Databases against Security Vulnerabilities: A Case of Microsoft SQL Server and PostgreSQL.
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            NameFull: Kilavo, Hassan
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            NameFull: Mrutu, Salehe I.
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              M: 07
              Text: Jul-Sep2023
              Type: published
              Y: 2023
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