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User Identification
Using Typing Biometrics
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User Identification
Using Typing Biometrics
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The success of a large number of computer applications depends on the level of security they provide. Effective computer security hinges primarily on the correct user identification, as password authentication is an inexpensive, familiar paradigm that most operating systems support. However, reliability on the password authentication system is decreasing due to the misuse of passwords by many users. Therefore, there is a need for a method to make the password technique more secure. As a solution to this problem, CRCS has used Typing Biometrics to develop a software methodology to improve password security.
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Each user has a unique way of using the keyboard. For example, each user types a character in a word at a typical speed. These characteristics, when applied to password detection, lead to an enhanced password protection. The use of typing biometrics to password protection offers the following benefits.
- A password, which is known to an impostor, doesn’t necessarily imply entry into the system.
- A user’s typing biometrics cannot be stolen, lost or rented.
- The methodology is software and not hardware driven. Therefore the possibility of integration is very high.
Using the concept of typing biometrics, CRCS developed a program called 'Keyboard' to identify the correct user through the analysis of his/her keystroke patterns. The program works in 2 modes - the training mode and the checking mode.
In the 'training mode', the program prompts the user to key in a sentence 'how are you' a number of times and stores the data under the user’s name. In the 'checking' mode, it prompts the user to key in the same sentence 'how are you' again. On the basis of the keystroke pattern used to type in the sentence, the program identifies the user and displays his/her name from its list. This program is able to identify a user from among various other users.
This project reflects the efforts of CRCS in the area of Human Computer Interfaces.
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