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3D Biometrics and Random Number Generation for Symmetric Cryptography: A Cloud Computing Based Approach - Brossura
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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.
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3D Biometrics and Random Number Generation for Symmetric Cryptography
Editore:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659957704
ISBN 13: 9783659957703
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Anand P. M. RubeshDr. 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 . Codice articolo 159148398
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3D Biometrics and Random Number Generation for Symmetric Cryptography
Editore:
LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10: 3659957704
ISBN 13: 9783659957703
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 196 pp. Englisch. Codice articolo 9783659957703
Quantità: 2 disponibili
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3D Biometrics and Random Number Generation for Symmetric Cryptography : A Cloud Computing Based Approach
Editore:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659957704
ISBN 13: 9783659957703
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783659957703
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Immagini fornite dal venditore
3D Biometrics and Random Number Generation for Symmetric Cryptography
Editore:
LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10: 3659957704
ISBN 13: 9783659957703
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch. Codice articolo 9783659957703
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3D Biometrics and Random Number Generation for Symmetric Cryptography: A Cloud Computing Based Approach
Editore:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659957704
ISBN 13: 9783659957703
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 196 pages. 8.66x5.91x0.45 inches. In Stock. Codice articolo 3659957704
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