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User Identification and Authentication System Based on a Hybrid Fuzzy Approach

机译:基于混合模糊方法的用户识别与认证系统

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This paper is devoted to organizing the process of user identification and authentication in an automatic system of a university. It is shown that currently available solutions for identification and authentication data mining do not ensure adequate security of the network as a whole. Fuzzy logic is used as the main solution for the problem of analyzing the sets of subjects and objects. Functions for evaluating separability and compactness, as well as an optimized maximin method, are used. An algorithm for clustering indefinite subjects and objects is presented.
机译:本文致力于在大学的自动系统中组织用户识别和认证过程。 结果表明,目前用于识别和认证数据挖掘的可用解决方案不会确保整个网络的充分安全性。 模糊逻辑被用作分析受试者和物体集的问题的主要解决方案。 使用用于评估可分离性和紧凑性的功能,以及优化的Maximin方法。 提出了一种用于聚类无限制主题和对象的算法。

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