Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/41.222645 | Industrial Electronics, IEEE Transactions |
Keywords | Field | DocType |
neural nets,pattern recognition,security,OnLine User Identification System,artificial neural network,computer access security,intelligent system,online neural network system,pattern classification | Data mining,Computer science,Identification system,Information access,Computer access,Personal computer,Control engineering,Password,Artificial intelligence,Artificial neural network,Neural network system | Journal |
Volume | Issue | ISSN |
40 | 2 | 0278-0046 |
Citations | PageRank | References |
28 | 3.91 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Obaidat, M.S. | 1 | 290 | 39.97 |
| Macchiarolo, D.T. | 2 | 28 | 3.91 |