Treffer: Development of a Web Access Control Technique Based User Access Behavior

Title:
Development of a Web Access Control Technique Based User Access Behavior
Publication Year:
2004
Document Type:
Dissertation thesis
Language:
English
Rights:
undefined
Accession Number:
edsbas.ED3CB45C
Database:
BASE

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The development and the wide spread use of the World Wide Web allow for convenient electronic data storage and distribution all over the world. This convenience has forced organizations in both private and public sectors to make their data available on the web with restricted or limited use. These data includes sensitive data that can be released only to specific requesters. This situation calls for the need of a access control techniques capable of capturing and enforcing the different requirements that the data producer (publisher) may need to control access their data. In fact, there is a need for fine-grained access control techniques which limit access of specific individuals to resources. Previous studies have not yet designed such a system that is reliable enough for such critical applications. This thesis discusses about designs and develops techniques and algorithms for performing web access control. The major objective of the proposed technique referred to as a Secure Web Access Control (SWAC) is to provide mechanisms for control web access based on user access behavior. The SWAC controls access to the web pages depending on user password, date of last request, page visited (URL) and status action. In SWAC technique active user's access transaction pattern is matched with user access transaction pattern discovered from user access history based on mining techniques. A set of algorithms is used for mining user access behavior, preprocessing tasks for data preparation, association rules for defining the rules that describe the correlation between web user access transaction entries patterns, and sequential pattern discovery for finding the sequences of the web user access transaction entries pattern using Prefixspan (Pattern growth via frequent sequence lattice) algorithms. The output is filtered using the query database system (SQL structure query language) to produce the interested web user access transaction entries pattern. Finally the rules induction is applied to the output pattern to make the ...