3D Biometrics and Random Number Generation for Symmetric Cryptography | A Cloud Computing Based Approach

P. M. Rubesh Anand

ISBN 10: 3659957704 / ISBN 13: 9783659957703

Verlag: LAP LAMBERT Academic Publishing, 2016

3D Biometrics and Random Number Generation for Symmetric Cryptography | A Cloud Computing Based Approach | P. M. Rubesh Anand | Taschenbuch | 196 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659957703 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 107762373

Inhaltsangabe:

Cryptography is a fascinating domain and a branch at the crossroads of several sciences. Through the decades, its techniques and objectives have evolved into many different complex structures, but its core has not changed. In order to hide any data, a suitable cryptographic mechanism and an appropriate random number (key) are needed. As most of the security models need to transmit the key separately before the encryption process, key management is still a problem to be solved. A dedicated hardware or software for random number generation solve this problem with appropriate authentication to operate them by the user. Human handwritten signature is used as a traditional way of authentication in banking, business transactions, acknowledgment of goods/services received due to its acceptance in legal and social levels. This book deals with human handwritten signature biometrics in 3D for authentication and some novel random number generators for symmetric cryptography.

Über die Autorin bzw. den Autor: Dr. Rubesh Anand is a Professor in Electronics and Communication Engineering at Hindustan University, India. His research interests include image processing, communication networks, biometric security, cryptography and network security. He has published more than 50 research articles and filed a patent in the area of biometric authentication.

Bibliografische Details

Titel: 3D Biometrics and Random Number Generation ...
Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2016
Einband: Taschenbuch
Zustand: Neu