基于按键的MLP神经网络用户识别系统

2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS) Pub Date : 2013-10-01 DOI:10.1109/TELSKS.2013.6704912

E. Popovici, Ovidiu G. Guta, Liviu A. Stancu, Stefan Arseni, O. Fratu

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引用次数: 9

摘要

本文介绍了一种基于击键动力学(BIOMETRIC)的连续认证系统。我们还提出了两种用于提取模式和验证用户的算法，这两种算法旨在同时使用，以提高验证过程的整体性能。第一个基于多层感知器(MLP)神经网络，第二个依赖于使用Bhattacharyya系数的信任算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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MLP neural network for keystroke-based user identification system

In this paper we introduce a continuous authentication system based on keystroke dynamics (BIOMETRIC). We also propose two algorithms for extracting patterns and validating the user, both intended to be used in the same time to improve the overall performance of the validation process. The first one is based on a Multi Layer Perceptron (MLP) Neural Network and the second one relies on a trust algorithm that uses the Bhattacharyya coefficient.

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2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)

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