Paper Details: Downloads: 431
Serial Number: P1150733007
Title: Identity Detection of Typist relying on Image Processing Techniques
Authors: Sherif. T. Amin and Magdy. A. Saeb and Marghany. H. Mohammed
Abstract: Global access to information and resources is becoming an essential part of nearly every aspect of our lives. Unfortunately, with this global network access comes increased chances of malicious attack and intrusion. In an effort to confront the new threats unveiled by the networking revolution of the past few years reliable, and rapid means for automatically recognizing the identity of individuals are now being sought. In this paper we consider the problem of identifying a user typing on a computer keyboard, through identification of his behavioral typing patterns and the time series consisting of keyboard events. A graphical representation of the user typing behavior in which frequency domain filtering operations are developed to robustly extract useful high-level information from the user's behavioral images, then using cross-correlation as measure of similarity we can accurately authenticate users. Our solution is based on simple template matching methodology. Application of our results could be a second-layer behaviometric security system continually testing the current user without interfering with this user’s work while attempting to identify masquerading users. We study the effectiveness of our method over a real dataset consisting of 17 users and 23 attackers.
Keywords: Behaviometrics, Image Processing, Pattern Matching.
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 7
Issue: 3
Submission Date: 8/1/2007 12:00:00 AM
Review Date: 9/1/2007 12:00:00 AM
Publishing Date: 11/1/2007 12:00:00 AM
Article Downloads: 431
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