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    • 5. 发明公开
    • DATA PROCESSING DEVICE
    • DATENVERARBEITUNGSGERÄT
    • EP2495908A1
    • 2012-09-05
    • EP09850835.1
    • 2009-10-29
    • Mitsubishi Electric Corporation
    • HATTORI, MitsuhiroSHIBATA, YoichiITO, TakashiMATSUDA, NoriTAKASHIMA, KatsuyukiYONEDA, Takeshi
    • H04L9/32
    • H04L9/3073H04L9/008H04L9/3231
    • A certification device 101 1 encrypts a feature vector for registration by using a random number and a public key which is set to correspond to a secret key in a decryption device 103. The encrypted feature vector for registration is registered in an authentication device 102. In authentication, the certification device encrypts a feature vector for authentication by using the public key and a random number. With the two encrypted feature vectors being kept encrypted, the authentication device generates encrypted similarity degree information from which the decryption device can derive the similarity degree between the two feature vectors by a decryption process using the secret key. The decryption device 103 decrypts the encrypted similarity degree information to derive the similarity degree of the plaintext. The authentication device 102, if the similarity degree is equal to or larger than a threshold, determines that the user is the correct user. The similarity degree can be derived without using the feature vector of the plaintext. Thus, secure identity authentication with a lower possibility of plaintext theft can be realized.
    • 认证装置101 1通过使用被设置为对应于解密装置103中的秘密密钥的随机数和公钥来加密用于注册的特征向量。用于注册的加密特征向量被登记在认证装置102中。 验证设备通过使用公钥和随机数加密特征向量进行认证。 在两个加密特征向量保持加密的情况下,认证装置生成加密的相似度信息,解密装置可以通过使用秘密密钥的解密处理从两个特征向量之间导出相似度。 解密装置103对加密的相似度信息进行解密,得到明文的相似度。 认证装置102如果相似度等于或大于阈值,则确定用户是正确的用户。 可以在不使用明文的特征向量的情况下导出相似度。 因此,可以实现具有较低的明文盗窃可能性的安全身份认证。