A new cryptographic primitive for noise tolerant template security
| Autor: | Onur Canpolat, Koray Karabina |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Security analysis Theoretical computer science Cryptographic primitive Biometrics business.industry Computer science 0211 other engineering and technologies Hamming distance 02 engineering and technology Encryption Noise Artificial Intelligence Signal Processing Secrecy 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition business Software Computer Science::Cryptography and Security |
| Zdroj: | Pattern Recognition Letters. 80:70-75 |
| ISSN: | 0167-8655 |
| Popis: | A new cryptographic primitive for noise tolerant scheme template security.Neither any encryption infrastructure nor secrecy of parameters is required.A detailed security and efficiency analysis is provided.Implementation results in the field of biometrics are provided. We introduce a new cryptographic primitive for noise tolerant template security. Our primitive consists of two algorithms. The first algorithm extracts a noise tolerant and secure template of fixed length binary data. The noise tolerance of our scheme follows from the second algorithm that determines whether two templates originate from a pair of data where the Hamming distance belongs to a priori-fixed error tolerance interval. The proposed scheme does not require any encryption infrastructure and its security does not rely on the secrecy of parameters. We discuss the security of our scheme with respect to the irreversibility and indistinguishability of templates and present concrete efficiency and security analysis for practical parameters under certain assumptions. Our techniques can potentially be used to increase security of systems and privacy of users in certain applications including biometric authentication systems and embedded security systems based on Physically Unclonable Functions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect