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Cross-site scripting detection based on an enhanced genetic algorithm

Software security vulnerabilities have led to many successful attacks on applications, especially web applications, on a daily basis. These attacks, including cross-site scripting, have caused damages for both web site owners and users. Cross-site scripting vulnerabilities are easy to exploit but di...

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Main Authors: Hydara, Isatou, Md Sultan, Abu Bakar, Zulzalil, Hazura, Admodisastro, Novia Indriaty
Format: Conference or Workshop Item
Language:English
Published: Science and Knowledge Research Society 2015
Online Access:http://psasir.upm.edu.my/id/eprint/67005/1/ICCSCM-6.pdf
http://psasir.upm.edu.my/id/eprint/67005/
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spelling my.upm.eprints.670052019-03-06T05:35:18Z http://psasir.upm.edu.my/id/eprint/67005/ Cross-site scripting detection based on an enhanced genetic algorithm Hydara, Isatou Md Sultan, Abu Bakar Zulzalil, Hazura Admodisastro, Novia Indriaty Software security vulnerabilities have led to many successful attacks on applications, especially web applications, on a daily basis. These attacks, including cross-site scripting, have caused damages for both web site owners and users. Cross-site scripting vulnerabilities are easy to exploit but difficult to mitigate. Many solutions have been proposed for their detection. However, the problem of cross-site scripting vulnerabilities present in web applications still persists. In this paper, we propose to explore an approach based on genetic algorithms that will be able to detect cross-site scripting vulnerabilities in the source code before an application is deployed. The proposed approach is, so far, only implemented and validated on Java-based Web applications, although it can be implemented in other programming languages with slight modifications. Initial evaluations have indicated promising results. Science and Knowledge Research Society 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/67005/1/ICCSCM-6.pdf Hydara, Isatou and Md Sultan, Abu Bakar and Zulzalil, Hazura and Admodisastro, Novia Indriaty (2015) Cross-site scripting detection based on an enhanced genetic algorithm. In: 4th International Conference on Computer Science and Computational Mathematics (ICCSCM 2015), 7-8 May 2015, Langkawi, Malaysia. (pp. 654-659).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Software security vulnerabilities have led to many successful attacks on applications, especially web applications, on a daily basis. These attacks, including cross-site scripting, have caused damages for both web site owners and users. Cross-site scripting vulnerabilities are easy to exploit but difficult to mitigate. Many solutions have been proposed for their detection. However, the problem of cross-site scripting vulnerabilities present in web applications still persists. In this paper, we propose to explore an approach based on genetic algorithms that will be able to detect cross-site scripting vulnerabilities in the source code before an application is deployed. The proposed approach is, so far, only implemented and validated on Java-based Web applications, although it can be implemented in other programming languages with slight modifications. Initial evaluations have indicated promising results.
format Conference or Workshop Item
author Hydara, Isatou
Md Sultan, Abu Bakar
Zulzalil, Hazura
Admodisastro, Novia Indriaty
spellingShingle Hydara, Isatou
Md Sultan, Abu Bakar
Zulzalil, Hazura
Admodisastro, Novia Indriaty
Cross-site scripting detection based on an enhanced genetic algorithm
author_facet Hydara, Isatou
Md Sultan, Abu Bakar
Zulzalil, Hazura
Admodisastro, Novia Indriaty
author_sort Hydara, Isatou
title Cross-site scripting detection based on an enhanced genetic algorithm
title_short Cross-site scripting detection based on an enhanced genetic algorithm
title_full Cross-site scripting detection based on an enhanced genetic algorithm
title_fullStr Cross-site scripting detection based on an enhanced genetic algorithm
title_full_unstemmed Cross-site scripting detection based on an enhanced genetic algorithm
title_sort cross-site scripting detection based on an enhanced genetic algorithm
publisher Science and Knowledge Research Society
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/67005/1/ICCSCM-6.pdf
http://psasir.upm.edu.my/id/eprint/67005/
_version_ 1643838777139920896
score 13.211869

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