Currently,many biometric systems maintain the user’s biometrics and templates in plaintext format,which brings great privacy risk to uses’biometric information.Biometrics are unique and almost unchangeable,which mea...Currently,many biometric systems maintain the user’s biometrics and templates in plaintext format,which brings great privacy risk to uses’biometric information.Biometrics are unique and almost unchangeable,which means it is a great concern for users on whether their biometric information would be leaked.To address this issue,this paper proposes a confidential comparison algorithm for iris feature vectors with masks,and develops a privacy-preserving iris verification scheme based on the El Gamal encryption scheme.In our scheme,the multiplicative homomorphism of encrypted features is used to compare of iris features and their mask information.Also,this paper improves the Hamming distance of iris features,which makes the similarity matching work better than existing ones.Experimental results confirm the practicality of our proposed schemes in real world applications,that is,for the iris feature vectors and masks of 2048 bits,nearly 12 comparisons can be performed per second.展开更多
基金partially supported by the National Natural Science Foundation of China(Grant Nos.61772150,61862012)the National Cryptography Development Fund of China under project MMJJ20170217+3 种基金the Guangxi Key R&D Fund under project AB17195025the Guangxi Natural Science Foundation under grant 2018GXNSFAA281232the open project of Guangxi Key Laboratory of Cryptography and Information Security(Grant Nos.GCIS201622,GCIS201702)the GUET Excellent Graduate Thesis Program(16YJPYSS23).
文摘Currently,many biometric systems maintain the user’s biometrics and templates in plaintext format,which brings great privacy risk to uses’biometric information.Biometrics are unique and almost unchangeable,which means it is a great concern for users on whether their biometric information would be leaked.To address this issue,this paper proposes a confidential comparison algorithm for iris feature vectors with masks,and develops a privacy-preserving iris verification scheme based on the El Gamal encryption scheme.In our scheme,the multiplicative homomorphism of encrypted features is used to compare of iris features and their mask information.Also,this paper improves the Hamming distance of iris features,which makes the similarity matching work better than existing ones.Experimental results confirm the practicality of our proposed schemes in real world applications,that is,for the iris feature vectors and masks of 2048 bits,nearly 12 comparisons can be performed per second.
