基于欺骗防范的个人身份识别与认证统计

T. T, M. M
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引用次数: 0

摘要

为了确保网上银行系统的安全性,使用了脸部、虹膜和指纹的三步认证方法。为了提高安全性,还包括欺骗检测。当有人试图冒充他人并获得未经授权的访问时,就会发生欺骗攻击。人脸和虹膜由摄像头采集,指纹由指纹模块采集。灰度共生矩阵用于提取人脸、虹膜和指纹(GLCM)图像。使用提取的图片构建参考模块,以便与输入进行比较,如果输入与模块匹配,则向用户的移动电话发送一次性密码(OTP)。如果正确输入了OTP,则只能进行在线交易。否则,帐户持有人将收到一条警告消息。这种方法允许进行非常安全的在线交易。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personal Identity Identification and Authentication Statistics Based on Countermeasures against Spoofing
To make the online banking system secure, a three-step authentication method using the face, iris, and fingerprint is used. To improve security, spoofing detection has also been included. A spoofing attack happens when someone attempts to impersonate someone else and gets unauthorized access. The face and iris are captured by the camera, while the fingerprint is captured by the fingerprint module. Gray Level Co-occurrence Matrix is used to extract a picture of a person's face, iris, and fingerprint (GLCM). A reference module is constructed using the extracted picture so that the input may be compared to it, and if the input matches the module, a one-time password (OTP) is delivered to the user's mobile phone. Only the online transaction may take place if the OTP is entered correctly. Otherwise, the account holder will get an alert message. This method allows for a very secure online transaction.
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