Privacy-Preserving Comparison of Variable-Length Data With Application to Biometric Template Protection

摘要: The establishment of cloud computing and big data in a wide variety daily applications has raised some privacy concerns due to the sensitive nature processed data. This promoted need develop protection techniques, where storage all operations are carried out without disclosing any information. Following this trend, paper presents new approach efficiently compare variable-length encrypted domain using homomorphic encryption only is stored or exchanged. variable-length-based algorithm fused with existing fixed-length techniques order obtain increased comparison accuracy. To assess soundness proposed approach, we evaluate its performance on particular application: multi-algorithm biometric template system based dynamic signatures that complies requirements described ISO/IEC 24745 standard information protection. Experiments have been publicly available database free implementation Paillier cryptosystem ensure reproducibility comparability other schemes.