Biometrics for User Authentication Using Artificial Neural Networks Keystroke Dynamics for User Authentication
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- Englisch ausgewählt
Fr. 74.90
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
07.12.2013
Verlag
LAP LAMBERT Academic PublishingSeitenzahl
108
Maße (L/B/H)
22/15/0.8 cm
Gewicht
179 g
Sprache
Englisch
ISBN
978-3-659-49504-5
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.
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