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2011 IEEE 13th International Conference on Communication Technology(ICCT 2011)

作者： Yunbo Feng Yan Liu Jiangfeng Chen Kang Liu China Mobile Communications Corporation (CMCC) Beijing China. Corporation Technology Siemens AG Beijing China.

With the general popularity and ubiquitous availability of Short Message Service （SMS）, numerous service providers use SMS as underlying data distributing carrier, such as the short-message based authentication system and emergency notification. For this kind of application services, the reliability and delay of SMS are critical factors to the user satisfaction of the service. This paper presents statistic analysis results of the trace data in a SMAP （Short Message-based authentication Platform） system. The analysis results show that the delay is caused by the short-message distributing latency （from SM-SC to user’s mobile phone） in most cases. And a decision tree-based solution is introduced to diagnose the failure in SMAP system automatically. Preliminary results illustrate the effectiveness of the decision tree-based approach.

关键词： Short Message Service (SMS) authentication system Statistic Analysis Decision Tree Automated Diagnosis

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Adaptive Behaviometrics using Dynamic Keystroke for authentication system

Adaptive Behaviometrics using Dynamic Keystroke for Authenti...

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2011 International Conference on Future Information Technology (ICFIT 2011)

作者： Dewi Yanti Liliana Dwina Satrinia Department of Computer Science Faculty of Mathematics and Natural Sciences University of Brawijaya Malang East Java Indonesia

The increasing number of information systems requires a reliable authentication system. authentication system using behavioral biometrics of human or so-called behaviometrics can be the simplest and the best choice. Therefore, Dynamic Keystroke authentication system （DKAS） becomes an effective solution which can be easily implemented to gain a high security information system. DKAS verify users based on their typing rythm on keyboard. Two main stages of DKAS is enrollment stage to register the user into the system, and the authentication stage to check the validity of the user. Verification is done by comparing the input feature vectors with template references. Feature matching employed is the combination of statistical method, measure of disorder and direction similarity measure. This combination method is chosen because it is simple and requires only small training data. In order to create an adaptive system we use a local threshold which has different value for different users. From the experiment conducted, the accuracy rate in distinguishing genuine and impostor users is 91.72%. This shows that the adaptive method of DKAS has a promising result.

关键词： authentication system biometrics behaviometrics dynamic keystroke local threshold

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Voice to Face Recognition Using Spectral ERB-DMLP Algorithms

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Computers, Materials & Continua 2022年第10期73卷 2187-2204页

作者： Fauzi A.Bala Osman N.Ucan Oguz Bayat School of Engineering and Natural Science Altinbas University34217Turkey College of Engineering Electrical and Electronic EngineeringMisurata UniversityLibya

Designing an authentication system for securing the power plants are important to allow only specific staffs of the power plant to access the certain blocks so that they can be restricted from using high risk-oriented *** authentication is also vital to prevent any security threats or risks like compromises of business server,release of confidential data *** conventional works attempted to accomplish better authentication,they lacked with respect to ***,the study aims to enhance the recognition rate by introducing a voice recognition system as a personal authentication based on Deep Learning(DL)due to its ability to perform effective *** study proposes Equivalent Rectangular Bandwidth and Deep Multi-Layer Perceptron(ERB-DMLP)as it has the ability to perform efficient and relevant feature extraction and faster *** algorithm also has the ability to establish effective correlation between voices and images and achieve the semantic relationship between *** preprocessing is initially performed to make it suitable for further processing by removing the noise and enhancing the quality of *** process is also vital to minimize the extra computations so that the overall efficacy of the system can be made flexible by considering the audio files as features and the images as labels to identify a person’s voice by classifying the extracted features from the ERB Feature *** is then passed as the input into DMLP model to classify the persons,and trained the model to make an accurate classification of audio with corresponding image labels,and perform the performance test based on the trained ***,relevant feature extraction and faster classification ability of the proposed work has made it explore better outcomes that is confirmed through results.

关键词： authentication system power plant equivalent rectangular bandwidth deep multi-layer perceptron convolution neural network

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