Abstract | ||
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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 |
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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. Imsand | 1 | 236 | 29.92 |
Deon Garrett | 2 | 2 | 0.40 |
John A. Hamilton , Jr | 3 | 35 | 8.12 |