An Evolutionary Approach for Clustering User Access Patterns from Web Logs

2006 ◽  
pp. 1184-1188
Author(s):  
Rui Wu
Keyword(s):  
Evolutionary Approach ◽  
Web Logs ◽  
User Access ◽  
Access Patterns

scholarly journals Application of Data Mining on Web Usage Data for Security: WebSecuDMiner

2019 ◽  
Author(s):  
Muhammad Zia Aftab Khan ◽  
Jihyun Park
Keyword(s):  
Design Methodology ◽  
Access Pattern ◽  
User Research ◽  
Web Log ◽  
Web Access ◽  
User Access ◽  
Log File ◽  
Access Patterns ◽  
Web Access Pattern ◽  
The Web

The purpose of this paper is to develop WebSecuDMiner algorithm to discover unusual web access patterns based on analysing the potential rules hidden in web server log and user navigation history. Design/methodology/approach: WebSecuDMiner uses equivalence class transformation (ECLAT) algorithm to extract user access patterns from the web log data, which will be used to identify the user access behaviours pattern and detect unusual one. Data extracted from the web serve log and user browsing behaviour is exploited to retrieve the web access pattern that is produced by the same user. Findings: WebSecuDMiner is used to detect whether any unauthorized access have been posed and take appropriate decisions regarding the review of the original rights of suspicious user. Research limitations/implications: The present work uses the database which is extracted from web serve log file and user browsing behaviour. Although the page is viewed by the user, the visit is not recorded in the server log file, since it can be access from the browser's cache.

Mining user access patterns with traversal constraint for predicting web page requests

2006 ◽  
Vol 10 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Mei-Ling Shyu ◽  
Choochart Haruechaiyasak ◽  
Shu-Ching Chen
Keyword(s):  
Web Page ◽  
User Access ◽  
Access Patterns
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