Seasonality and Software Vulnerabilities in Major Database Management Systems
HyunChul Joh
European Journal of Engineering and Technology Research, 2020, vol. 5, issue 12, 76-81
Abstract:
Popularity and marketshare are very important index for software users and vendors since more popular systems tend to engage better user experience and environments. periodical fluctuations in the popularity and marketshare could be vital factors when we estimate the potential risk analysis in target systems. Meanwhile, software vulnerabilities, in major relational database management systems, are detected every now and then. Today, all most every organizations depend on those database systems for store and retrieve their any kinds of informations for the reasons of security, effectiveness, etc. They have to manage and evaluate the level of risks created by the software vulnerabilities so that they could avoid potential losses before the security defects damage their reputations. Here, we examine the seasonal fluctuations with respect to the view of software security risks in the four major database systems, namely MySQL, MariaDB, Oracle Database and Microsoft SQL Server.
Keywords: Relational database management system; Seasonality; MySQL; Oracle DB; SQL Server (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/62273 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/62273/12556 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:5:y:2020:i:12:id:62273
DOI: 10.24018/ejeng.2020.5.12.2273
Access Statistics for this article
More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().