Title :
A practical approach to user authentication
Author :
Brown, Marcus ; Rogers, Samuel J.
Author_Institution :
Dept. of Comput. Sci., Alabama Univ., AL, USA
Abstract :
A method for user authentication is presented which analyzes keystroking data as the user types his or her name. This study utilizes the ADALINE (ADAptive LINear Element) and backpropagation neural nets to identify the typing pattern characteristic of a particular user. A simple measure of geometric distance is also used for comparison. This paper provides a brief introduction to this type of neural net. It then describes the research procedure and contrasts the initial and new results, followed by a conclusion with notes concerning future research. For an average 15-character name, a complete exclusion of imposters is obtained from a set of over 5000 imposter samples
Keywords :
authorisation; biometrics (access control); 15-character name; ADALINE neural net; adaptive linear element; backpropagation neural net; geometric distance; imposter exclusion; keystroke analysis; keystroking data; typing pattern characteristic; user authentication; Authentication; Computer science; Computer security; Data analysis; Intellectual property; Neural networks; Pattern analysis; Testing; Timing;
Conference_Titel :
Computer Security Applications Conference, 1994. Proceedings., 10th Annual
Conference_Location :
Orlando, FL
Print_ISBN :
0-8186-6795-8
DOI :
10.1109/CSAC.1994.367316
