CROct 16, 2018

Fourier domain asymmetric cryptosystem for privacy protected multimodal biometric security

arXiv:1810.07177v11 citations
Originality Synthesis-oriented
AI Analysis

This work addresses privacy protection in biometric security systems, but it appears incremental as it builds on existing encryption and Fourier processing techniques without introducing a fundamentally new approach.

The authors tackled the problem of securing multimodal biometric data by proposing a Fourier domain asymmetric cryptosystem, where one biometric modality encrypts another using private keys derived from human-provided biometrics, and computer simulations confirmed its feasibility.

We propose a Fourier domain asymmetric cryptosystem for multimodal biometric security. One modality of biometrics (such as face) is used as the plaintext, which is encrypted by another modality of biometrics (such as fingerprint). A private key is synthesized from the encrypted biometric signature by complex spatial Fourier processing. The encrypted biometric signature is further encrypted by other biometric modalities, and the corresponding private keys are synthesized. The resulting biometric signature is privacy protected since the encryption keys are provided by the human, and hence those are private keys. Moreover, the decryption keys are synthesized using those private encryption keys. The encrypted signatures are decrypted using the synthesized private keys and inverse complex spatial Fourier processing. Computer simulations demonstrate the feasibility of the technique proposed.

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