DocumentCode
3770457
Title
Web access patterns reveal insiders behavior
Author
Anagi Gamachchi;Serdar Bozta?
Author_Institution
School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia
fYear
2015
Firstpage
70
Lastpage
74
Abstract
Insider threat is one of the most serious information security threats which is growing at an alarming rate leading to a compromise of confidentiality, integrity and availability of information assets in all critical infrastructure sector organizations. This study proposes a hybrid user profile model which is based on technical access patterns, behavioral patterns, psychological factors and organizational position for this complex and unique problem. In this study we have investigated common characteristics among enterprise users based on their web access pattern which is a part of the behavioral analysis of our model. The results of this analysis reveal majority of users have common web access patterns compared to the minority user base who shows individual user behavior.
Keywords
"Security","Psychology","Clustering algorithms","Social network services","Algorithm design and analysis","Electronic mail","Measurement"
Publisher
ieee
Conference_Titel
Signal Design and its Applications in Communications (IWSDA), 2015 Seventh International Workshop on
Electronic_ISBN
2150-3699
Type
conf
DOI
10.1109/IWSDA.2015.7458417
Filename
7458417
Link To Document