Security with Noisy Data: On Private Biometrics, Secure Key Storage and Anti-Counterfeiting

Pim Tuyls (Curatore)

Boris Škoric (Curatore)

Springer London Ltd, 2010

Noisy data appear very naturally in applications where the authentication is based on physical identifiers. This book provides a self-contained overview of the techniques and applications of security based on noisy data. It covers both the theory of authentication based on noisy data and shows it in practice as a key tool for prevention of counterfeiting. Biometrics and physical unclonable functions are discussed extensively. Key new technologies discussed include: -Algorithms to derive secure keys form noisy data in particular from Physical Unclonable Functions and Biometrics, - also the theory which proves that those algorithms are secure is made accessible; Practical Implementations of the above mentioned algorithms; - Techniques that give insight in the security of those systems in practice; An overview and detailed description of new applications that become possible by using these new algorithms. This book can serve as a starting point for PhD students entering the field and will also benefit professionals.

• Curatore: Pim Tuyls, Boris Škoric
• Editore: Springer London Ltd
• Anno: 2010
• Rilegatura: Paperback / softback
• Pagine: 340 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781849966931

Testo in English