An online face authentication method based on homomorphic encryption and chaotic scrambling

A chaotic scrambling and homomorphic encryption technology, applied in user identity/authority verification, digital data authentication, etc., can solve the problems of large amount of SIFT characteristic data, inappropriate encryption, etc., achieve good authentication performance, reduce the amount of encryption calculation, The effect of ensuring safety

Active Publication Date: 2017-06-30
BEIJING UNIV OF TECH
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Problems solved by technology

According to the experimental analysis, the SIFT characteristic data volume of the present invention is large, so it is not suitable for encryption, and the homomorphic encryption algorithm only satisfies additive homomorphism and multiplicative homomorphism, and is not suitable for complex face authentication algorithms

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  • An online face authentication method based on homomorphic encryption and chaotic scrambling
  • An online face authentication method based on homomorphic encryption and chaotic scrambling
  • An online face authentication method based on homomorphic encryption and chaotic scrambling

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Embodiment Construction

[0055] The overall process of the technical solution of the present invention is as follows in the description attached figure 1 As shown, it is divided into registration phase and authentication phase. The technical solution is in the ORL face database (sample example is attached figure 2 ) for experiments, the results of which are attached image 3 As shown, our method outperforms other existing methods with an average recognition rate of 91%.

[0056] A. In the registration stage, the user collects a face for registration. The face is preferably a face with no posture change, normal expression, and no occlusion. For the collected face, SIFT feature points are first extracted, and then the SIFT feature points are extracted. Feature point binarization and feature point screening are performed separately to reduce the amount of stored data. The binarization results are shown in the attached Figure 4 As shown, the feature point screening process is as attached Image 6 As...

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Abstract

An online face identity authentication method based on homomorphic encryption and chaotic scrambling, which is oriented to safe and reliable online identity authentication system applications. The present invention first researches and proposes an effective SIFT feature point filtering method and an effective SIFT feature binarization method; secondly, a reasonable homomorphic encryption method is designed to implement an identity authentication method based on the similarity of local feature points in the encrypted domain. On the basis of the above research, a safe and reliable online identity authentication system method is designed around the online identity authentication prototype application system that is unified with the user's physical identity and digital identity. The encrypted features obtained by the method proposed by the invention have diversity, revocation and security, and can still ensure good authentication performance. Therefore, the present invention has certain application value and significance.

Description

technical field [0001] The invention relates to homomorphic encryption technology and gesture face recognition technology, in particular to the research and implementation of an online face identity authentication method based on homomorphic encryption and chaotic scrambling. Background technique [0002] With the 911 terrorist attacks in the United States and the leakage of network CSDN user information, biometric recognition technology has attracted everyone's attention, and face biometric identification and authentication technology has always been a hot spot in the field of biometric recognition. A good recognition performance can be obtained under the condition of control. With the wide application of biometric authentication technology, the security and privacy issues of biometrics are exposed. First of all, biometrics belong to personal privacy. If the biometrics are stolen, personal privacy will be exposed; secondly, biometrics are very unique, in other words, they ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L9/32G06F21/32
Inventor 毋立芳周鹏高源曹瑜侯亚希许晓
Owner BEIJING UNIV OF TECH
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