PeANFIS-FARM for discovering rules for XML intrusion detection and prevention

The Internet and XML-based Web Services (WS) have revolutionised the Information Technology industry. Increasing number of software applications, especially Business Intelligence (BI) or e-commerce applications are built on this Internet and Web service-enabled platform. Consequently, the Applicat...

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Bibliographic Details
Main Author:	Chan, Gaik Yee
Format:	Thesis
Published:	2012
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
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id	my-mmu-ep.5402
record_format	uketd_dc
spelling	my-mmu-ep.54022014-03-27T02:29:37Z PeANFIS-FARM for discovering rules for XML intrusion detection and prevention 2012-04 Chan, Gaik Yee TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television The Internet and XML-based Web Services (WS) have revolutionised the Information Technology industry. Increasing number of software applications, especially Business Intelligence (BI) or e-commerce applications are built on this Internet and Web service-enabled platform. Consequently, the Application Layer is open to various types of XML-related threats. Although active research has been ongoing in host-based and network-based intrusion detection (ID) and intrusion prevention (IP) areas, they are not adequate to address the problems or countermeasure the attacks occurring at the Application Layer. These ID/IP systems merely detect attacks by observing various network and host’s activities, but do not address XML-related attacks. Even though basic standards such as XML Digital Signature and XML Encryption exist, they are still not adequate to address the security threats and vulnerabilities completely. For example, XML Encryption can mask message content being inspected, thus concealing probable attacks such as oversized payload, coercive parsing or XML injection. In view of the XML-related security threats, this study has developed an adaptive ID/IP framework incorporated with predictive fuzzy models that validate inputs and SOAP size to counter XML-related attacks. 2012-04 Thesis http://shdl.mmu.edu.my/5402/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php phd doctoral Multimedia University Faculty of Computing & Informatics
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Chan, Gaik Yee PeANFIS-FARM for discovering rules for XML intrusion detection and prevention
description	The Internet and XML-based Web Services (WS) have revolutionised the Information Technology industry. Increasing number of software applications, especially Business Intelligence (BI) or e-commerce applications are built on this Internet and Web service-enabled platform. Consequently, the Application Layer is open to various types of XML-related threats. Although active research has been ongoing in host-based and network-based intrusion detection (ID) and intrusion prevention (IP) areas, they are not adequate to address the problems or countermeasure the attacks occurring at the Application Layer. These ID/IP systems merely detect attacks by observing various network and host’s activities, but do not address XML-related attacks. Even though basic standards such as XML Digital Signature and XML Encryption exist, they are still not adequate to address the security threats and vulnerabilities completely. For example, XML Encryption can mask message content being inspected, thus concealing probable attacks such as oversized payload, coercive parsing or XML injection. In view of the XML-related security threats, this study has developed an adaptive ID/IP framework incorporated with predictive fuzzy models that validate inputs and SOAP size to counter XML-related attacks.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Chan, Gaik Yee
author_facet	Chan, Gaik Yee
author_sort	Chan, Gaik Yee
title	PeANFIS-FARM for discovering rules for XML intrusion detection and prevention
title_short	PeANFIS-FARM for discovering rules for XML intrusion detection and prevention
title_full	PeANFIS-FARM for discovering rules for XML intrusion detection and prevention
title_fullStr	PeANFIS-FARM for discovering rules for XML intrusion detection and prevention
title_full_unstemmed	PeANFIS-FARM for discovering rules for XML intrusion detection and prevention
title_sort	peanfis-farm for discovering rules for xml intrusion detection and prevention
granting_institution	Multimedia University
granting_department	Faculty of Computing & Informatics
publishDate	2012
_version_	1747829571150938112

PeANFIS-FARM for discovering rules for XML intrusion detection and prevention

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