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Development of Digital Environment IdentiTY (DEITY) System for Online Access

机译:开发在线访问的数字环境认同(DIITY)系统

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This paper is a study of digital identity management system with specific emphasis on its implementation using a set of credentials. In our study we propose a credentials attributes mapping technique, the so-called common attributes mapping (CaMa) which facilitates the extraction of useful features to be represented in composing an identity. The study also groups credentials of similar types and information from them are fused and used as the set of discriminators which facilitate online identity of users. Using artificial neural networks, face recognition and fingerprint recognition, a digital environment identity (DEITY) is developed in .NET and tested. The system is effective in providing both the identities of the person and the equipment being used for online access.
机译:本文是对数字身份管理系统的研究,具体强调使用一组凭据实现其实现。在我们的研究中,我们提出了一种凭证属性映射技术,所谓的公共属性映射(CAMA),其便于提取有用的特征来表示构图标识。该研究还将类似类型的凭证组融合并用作促进用户在线身份的鉴别器集。使用人工神经网络,面部识别和指纹识别,数字环境标识(DIITY)在.NET中开发并进行了测试。该系统有效地提供人员的身份和用于在线访问的设备。

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