By Topic

An online neural network system for computer access security

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Obaidat, M.S. ; Dept. of Electr. Eng., City Coll. of New York, NY, USA ; Macchiarolo, D.T.

A method for identifying computer users based on the individual typing techniques of the users is presented. The identification system is a pattern classification system based on a simulation of an artificial neural network. The user types a known sequence of characters, and the intercharacter times represent a pattern vector to be classified. This vector is presented to the classification system, and the pattern is assigned to a predefined class, thus identifying the user. The major work is divided into two phases: the investigation phase and the implementation phase. Experimental results are discussed, followed by a description of a real-time implementation of this system, using a personal computer, known as the OnLine User Identification System. In an operational trial, the system correctly identified users 97.8% of the time. This intelligent system can be used, in addition to the traditional user name and password procedures, to improve computer security in a cost-effective manner

Published in:

Industrial Electronics, IEEE Transactions on  (Volume:40 ,  Issue: 2 )