Web Link Classification And Aceessibillity Modelling For Web Security Enhancement

The main objective of this research is to analyse the internal behaviour of WWW with regard to web link design, web link structural organisation, web link accessibility and web surfing efficiency, and to recommend solution models for improving the quality of WWW and for enhancing the web security. A...

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Main Author:	Chong, Chee Way
Format:	Thesis
Published:	1999
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
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id	my-mmu-ep.391
record_format	uketd_dc
spelling	my-mmu-ep.3912010-06-15T10:27:44Z Web Link Classification And Aceessibillity Modelling For Web Security Enhancement 1999 Chong, Chee Way TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television The main objective of this research is to analyse the internal behaviour of WWW with regard to web link design, web link structural organisation, web link accessibility and web surfing efficiency, and to recommend solution models for improving the quality of WWW and for enhancing the web security. A new method for identifying the independent set of links in a web link network is proposed. If the links in an independent set satisfy te equivalence relation, an equivalence class is formed. Considering the vagueness of link accessibility, fuzzy c-mean algorithm is utilised to classify the web links into five linguistic accessibility clusters. Fuzzy equivalence classes are identified if the links satisfy fuzzy equivalence relation. The formation of a fuzzy equivalence class implies that direct accessibility of its elements is consistent and strong. Multiple link structures are analysed and their accessibility functions are derived by using both probabilistic and fuzzy concepts. The importance of the subsets of links in each of these structures is evaluated by using Birnbaum's measure and their implicit features are investigated. State space models for partial accessibility of subsets of links are also developed by using both probabilistic and fuzzy concepts. A Monte Carlo simulation model is developed by assuming an exponentially decreasing losing rate. Identifying the presence of minimal cut sets on a web link network is then considered to enhance the reliability and security of the web site. To impose link level security on different authorised users, a link level access control mechanism ( LiBAC) is proposed to categorise and limit the users for accessing the web links by providing partial access states. New navigation models, termed as pre-order and Hamiltonian models are proposed for naïve users to improve their surfing efficiency. Fuzzy distance measure is utilised to identify the optimal path that leads to a pre-defined target page. 1999 Thesis http://shdl.mmu.edu.my/391/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
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 Chong, Chee Way Web Link Classification And Aceessibillity Modelling For Web Security Enhancement
description	The main objective of this research is to analyse the internal behaviour of WWW with regard to web link design, web link structural organisation, web link accessibility and web surfing efficiency, and to recommend solution models for improving the quality of WWW and for enhancing the web security. A new method for identifying the independent set of links in a web link network is proposed. If the links in an independent set satisfy te equivalence relation, an equivalence class is formed. Considering the vagueness of link accessibility, fuzzy c-mean algorithm is utilised to classify the web links into five linguistic accessibility clusters. Fuzzy equivalence classes are identified if the links satisfy fuzzy equivalence relation. The formation of a fuzzy equivalence class implies that direct accessibility of its elements is consistent and strong. Multiple link structures are analysed and their accessibility functions are derived by using both probabilistic and fuzzy concepts. The importance of the subsets of links in each of these structures is evaluated by using Birnbaum's measure and their implicit features are investigated. State space models for partial accessibility of subsets of links are also developed by using both probabilistic and fuzzy concepts. A Monte Carlo simulation model is developed by assuming an exponentially decreasing losing rate. Identifying the presence of minimal cut sets on a web link network is then considered to enhance the reliability and security of the web site. To impose link level security on different authorised users, a link level access control mechanism ( LiBAC) is proposed to categorise and limit the users for accessing the web links by providing partial access states. New navigation models, termed as pre-order and Hamiltonian models are proposed for naïve users to improve their surfing efficiency. Fuzzy distance measure is utilised to identify the optimal path that leads to a pre-defined target page.
format	Thesis
qualification_level	Master's degree
author	Chong, Chee Way
author_facet	Chong, Chee Way
author_sort	Chong, Chee Way
title	Web Link Classification And Aceessibillity Modelling For Web Security Enhancement
title_short	Web Link Classification And Aceessibillity Modelling For Web Security Enhancement
title_full	Web Link Classification And Aceessibillity Modelling For Web Security Enhancement
title_fullStr	Web Link Classification And Aceessibillity Modelling For Web Security Enhancement
title_full_unstemmed	Web Link Classification And Aceessibillity Modelling For Web Security Enhancement
title_sort	web link classification and aceessibillity modelling for web security enhancement
granting_institution	Multimedia University
granting_department	Research Library
publishDate	1999
_version_	1747829122876309504

Web Link Classification And Aceessibillity Modelling For Web Security Enhancement

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