![](/images/graphics-bg.png)
Detecting Cross-Site Scripting in Web Applications Using Fuzzy Inference System
Joint Authors
Ayeni, Bakare K.
Sahalu, Junaidu B.
Adeyanju, Kolawole R.
Source
Journal of Computer Networks and Communications
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
With improvement in computing and technological advancements, web-based applications are now ubiquitous on the Internet.
However, these web applications are becoming prone to vulnerabilities which have led to theft of confidential information, data loss, and denial of data access in the course of information transmission.
Cross-site scripting (XSS) is a form of web security attack which involves the injection of malicious codes into web applications from untrusted sources.
Interestingly, recent research studies on the web application security centre focus on attack prevention and mechanisms for secure coding; recent methods for those attacks do not only generate high false positives but also have little considerations for the users who oftentimes are the victims of malicious attacks.
Motivated by this problem, this paper describes an “intelligent” tool for detecting cross-site scripting flaws in web applications.
This paper describes the method implemented based on fuzzy logic to detect classic XSS weaknesses and to provide some results on experimentations.
Our detection framework recorded 15% improvement in accuracy and 0.01% reduction in the false-positive rate which is considerably lower than that found in the existing work by Koli et al.
Our approach also serves as a decision-making tool for the users.
American Psychological Association (APA)
Ayeni, Bakare K.& Sahalu, Junaidu B.& Adeyanju, Kolawole R.. 2018. Detecting Cross-Site Scripting in Web Applications Using Fuzzy Inference System. Journal of Computer Networks and Communications،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1182819
Modern Language Association (MLA)
Ayeni, Bakare K.…[et al.]. Detecting Cross-Site Scripting in Web Applications Using Fuzzy Inference System. Journal of Computer Networks and Communications No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1182819
American Medical Association (AMA)
Ayeni, Bakare K.& Sahalu, Junaidu B.& Adeyanju, Kolawole R.. Detecting Cross-Site Scripting in Web Applications Using Fuzzy Inference System. Journal of Computer Networks and Communications. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1182819
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182819