Biometrics for User Authentication Using Artificial Neural Networks

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54,90 

Keystroke Dynamics for User Authentication

ISBN: 3659495042
ISBN 13: 9783659495045
Autor: Mohammed Hobi, Mais/Majeed Hameed, Sarab
Verlag: LAP LAMBERT Academic Publishing
Umfang: 108 S.
Erscheinungsdatum: 09.12.2013
Auflage: 1/2013
Format: 0.8 x 22 x 15
Gewicht: 179 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 5987576 Kategorie:

Beschreibung

Computer systems and networks are being used in almost every aspect of our daily life, the security threats to computers and networks have increased significantly. Usually, password-based user authentication is used to authenticate the legitimate user. However, this method has many gaps such as password sharing, brute force attack, dictionary attack and guessing. Keystroke dynamics is one of the famous and inexpensive behavioral biometric technologies, which authenticate a user based on the analysis of his/her typing rhythm. In this way, intrusion becomes more difficult because the password as well as the typing speed must match with the correct keystroke patterns. This book considers static keystroke dynamics as a transparent layer of the user for user authentication. Back Propagation Neural Network (BPNN) and the Probabilistic Neural Network (PNN) are used as a classifier to discriminate between the authentic and impostor users. This book is useful for students and staff of computer science department.

Autorenporträt

Mais Mohammed Hobi: Computer Security. User Authentication Based on Keystroke Dynamics. Baghdad.

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