1,015
Views
3
CrossRef citations to date
0
Altmetric
Review Article

A systematic review and taxonomy of web applications threats

ORCID Icon & ORCID Icon
Pages 1-27 | Published online: 31 Dec 2020
 

ABSTRACT

Nowadays, web application security is one of the relevant issues in the IT security domain due to the continued growth in the number of web-related attacks. As a result, attacks, with various and varied motivations, have developed and become increasingly sophisticated. They mainly target data related to economic activities. Thus, they cause significant damage to the overall functioning of information systems. To address the various threats, several robust taxonomies exist in the literature. Each taxonomy and classification has advantages and limitations. We first define the different threat classifications related to the context of Web applications. The objective of this analysis is to provide a synthesis of the advantages and disadvantages of each classification. The current work analyses different taxonomies for web applications threats, in order to propose our proper taxonomy. The proposed taxonomy takes advantage of the benefits of existing taxonomies and provides an integrated approach for classifying both client-side and server-side attacks. The finding will help researchers to find a clear and detailed taxonomy of the different threats related to web applications.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 101.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.