Paper Info
Title
User Identification Using Gui Manipulation Patterns And Artificial Neural Networks
Abstract
A masquerade attack is any attack in which the attacker is able to make the target system believe they are someone they are not. One particularly dangerous example of a masquerade attack occurs when an attacker uses an unattended, unlocked computer workstation. Recent studies have demonstrated that analyzing the manners in which a user manipulates a graphical user interface can be used as an effective means of authentication. We present the results of a study into the use of GUI manipulations in combination with Artificial Neural Networks (ANNs) as a basis for identification.
Year
DOI
Venue
2009
10.1109/CICYBS.2009.4925100
IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN CYBER SECURITY
Keywords
Field
DocType
authentication,artificial neural networks,workstations,graphic user interface,intrusion detection,message authentication,artificial neural network,graphical user interfaces,neural nets,graphical user interface
Authentication,Message authentication code,Computer science,Workstation,Human–computer interaction,Graphical user interface,Software,Artificial neural network,Intrusion detection system,Embedded system
Conference
Citations 
PageRank 
References 
2
0.40
7
Authors
3
Name
Order
Citations
PageRank
Eric S. Imsand123629.92
Deon Garrett220.40
John A. Hamilton , Jr3358.12