Preventing persistent cross-site scripting (XSS) attack by applying pattern filtering approach
Cross-Site Scripting (XSS) vulnerability is one of the most widespread security problems for web applications, which has been haunting the web application developers for years. Various approaches to defend against attacks (that use XSS vulnerabilities) are available today but no single approach solv...
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Institute of Electrical and Electronic Engineers, Inc.
2014
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iium-393802017-09-19T07:40:42Z http://irep.iium.edu.my/39380/ Preventing persistent cross-site scripting (XSS) attack by applying pattern filtering approach Yusof, Imran Pathan, Al-Sakib Khan QA75 Electronic computers. Computer science Cross-Site Scripting (XSS) vulnerability is one of the most widespread security problems for web applications, which has been haunting the web application developers for years. Various approaches to defend against attacks (that use XSS vulnerabilities) are available today but no single approach solves all the loopholes. After investigating this area, we have been motivated to propose an efficient approach to prevent persistent XSS attack by applying pattern filtering method. In this work, along with necessary background, we present case studies to show the effectiveness of our approach. Institute of Electrical and Electronic Engineers, Inc. 2014-11-17 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/39380/1/39380_Preventing%20Persistent%20Cross-Site%20Scripting.pdf application/pdf en http://irep.iium.edu.my/39380/2/39380_Preventing%20Persistent%20Cross-Site%20Scripting_SCOPUS.pdf Yusof, Imran and Pathan, Al-Sakib Khan (2014) Preventing persistent cross-site scripting (XSS) attack by applying pattern filtering approach. In: 2014 The 5th International Conference on Information & Communication Technology for the Muslim World (ICT4M 2014), 17th-19th November 2014, Sarawak. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7020628 10.1109/ICT4M.2014.7020628 |
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International Islamic University Malaysia |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Yusof, Imran Pathan, Al-Sakib Khan Preventing persistent cross-site scripting (XSS) attack by applying pattern filtering approach |
description |
Cross-Site Scripting (XSS) vulnerability is one of the most widespread security problems for web applications, which has been haunting the web application developers for years. Various approaches to defend against attacks (that use XSS vulnerabilities) are available today but no single approach solves all the loopholes. After investigating this area, we have been motivated to propose an efficient approach to prevent persistent XSS attack by applying pattern filtering method. In this work, along with necessary background, we present case studies to show the effectiveness of our approach. |
format |
Conference or Workshop Item |
author |
Yusof, Imran Pathan, Al-Sakib Khan |
author_facet |
Yusof, Imran Pathan, Al-Sakib Khan |
author_sort |
Yusof, Imran |
title |
Preventing persistent cross-site scripting (XSS) attack by applying pattern filtering approach |
title_short |
Preventing persistent cross-site scripting (XSS) attack by applying pattern filtering approach |
title_full |
Preventing persistent cross-site scripting (XSS) attack by applying pattern filtering approach |
title_fullStr |
Preventing persistent cross-site scripting (XSS) attack by applying pattern filtering approach |
title_full_unstemmed |
Preventing persistent cross-site scripting (XSS) attack by applying pattern filtering approach |
title_sort |
preventing persistent cross-site scripting (xss) attack by applying pattern filtering approach |
publisher |
Institute of Electrical and Electronic Engineers, Inc. |
publishDate |
2014 |
url |
http://irep.iium.edu.my/39380/ http://irep.iium.edu.my/39380/ http://irep.iium.edu.my/39380/ http://irep.iium.edu.my/39380/1/39380_Preventing%20Persistent%20Cross-Site%20Scripting.pdf http://irep.iium.edu.my/39380/2/39380_Preventing%20Persistent%20Cross-Site%20Scripting_SCOPUS.pdf |
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2023-09-18T20:56:35Z |
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2023-09-18T20:56:35Z |
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1777410344394686464 |