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Artificial Intelligence Review

Erschienen in:

01.02.2015

Systematic review of web application security development model

verfasst von: Bala Musa Shuaibu, Norita Md Norwawi, Mohd Hasan Selamat, Abdulkareem Al-Alwani

Erschienen in: Artificial Intelligence Review | Ausgabe 2/2015

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Abstract

In recent years, web security has been viewed in the context of securing the web application layer from attacks by unauthorized users. The vulnerabilities existing in the web application layer have been attributed either to using an inappropriate software development model to guide the development process, or the use of a software development model that does not consider security as a key factor. Therefore, this systematic literature review is conducted to investigate the various security development models used to secure the web application layer, the security approaches or techniques used in the process, the stages in the development model in which the approaches or techniques are emphasized, and the tools and mechanism used to detect vulnerabilities. The study extracted 499 publications from respectable scientific sources, i.e. the IEEE Computer Society, ACM Digital Library, Google-Scholar, Science Direct, Scopus, Springer Link and ISI Web. After investigation, only 43 key primary studies were considered for this review based on defined inclusion and exclusion criteria. From the review, it appears that no one development model is referred to as a standard or preferred model for web application development. However, agile development models seem to have gained more attention, probably due to the multiple stakeholders that are involved in discussing security viewpoints, rather than a few members of the development team. It appears also that there is consistency in the use of the threat-modeling technique, probably due to its effectiveness in dealing with different kinds of vulnerabilities.

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Titel: Systematic review of web application security development model
verfasst von: Bala Musa Shuaibu
Norita Md Norwawi
Mohd Hasan Selamat
Abdulkareem Al-Alwani
Publikationsdatum: 01.02.2015
Verlag: Springer Netherlands
Erschienen in: Artificial Intelligence Review / Ausgabe 2/2015
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-012-9375-6

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