Many users may not be able to determine whether their device is trustworthy, i.e. it might contain malware. One solution is to use visual cryptography for authentication. The author generalizes this concept to human decipherable encryption schemes and establishes a relationship to CAPTCHAS. He proposes a new security model and presents the first visual encryption scheme which makes use of noise to complicate the adversary's task.
To prevent service providers from keeping their users under surveillance, anonymous credentials may be used. However, sometimes it is desirable to prevent the users from sharing their credentials. The author compares existing approaches basedon non-transferable anonymous credentials and proposes an approach which combines biometrics and smartcards.
Contents
- Human Decipherable Encryption Schemes
- Visual Cryptography
- Non-Transferable Anonymous Credentials
- Authentication
Target Groups
- Teachers, students and practitioners in the fields of cryptography and IT security
About the Author
Dr. Sebastian Pape is postdoctoral researcher at the Chair of Software Engineering at Technical University Dortmund.
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