2019 2nd International Conference on Signal Processing and Information Security (ICSPIS)最新文献

Partial Discharge Signal Denoising based on VMD and Group-Sparse TV Denoising 基于VMD和群稀疏电视去噪的局部放电信号去噪

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/ICSPIS48135.2019.9045901

Ragavesh Dhandapani, I. Mitiche, Venkateswara Sharma Mallela, G. Morison

引用次数: 4

PIN Authentication Using Multi-Model Anomaly Detection in Keystroke Dynamics 在击键动力学中使用多模型异常检测的PIN认证

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/ICSPIS48135.2019.9045896

Mudhafar M. Al-Jarrah, Ghofran M. Khalaf, Saad Amin

{"title":"PIN Authentication Using Multi-Model Anomaly Detection in Keystroke Dynamics","authors":"Mudhafar M. Al-Jarrah, Ghofran M. Khalaf, Saad Amin","doi":"10.1109/ICSPIS48135.2019.9045896","DOIUrl":"https://doi.org/10.1109/ICSPIS48135.2019.9045896","url":null,"abstract":"This paper investigates the design of anomaly detectors and feature sets for Personal Information Number (PIN) authentication on mobile devices. The work involved a selection of raw data feature sets that are extracted from mobile devices, such as finger area, pressure, and timestamp. A set of primary and secondary authentication features have been formulated, which are calculated from the raw data features. The anomaly detectors are based on the outlier concept, where an input PIN's calculated feature is classified as imposter value if it is outside an acceptable zone from a central value such as the mean or median of a set of training values. The Z-Score method is used as the distance function of the anomaly detectors, and three versions are investigated; the standard deviation-based Z-Score, the modified Z-Score which uses the Median-Absolute-Deviation (MAD) and the Average-Absolute-Deviation (AAD) Z-Score function. The three single models are combined into ensemble models. Experimental work resulted in a PIN dataset from 70 subjects, where the data included genuine and imposter PIN data. The primary and secondary authentication features dataset were calculated from the raw features dataset. The results showed that the merged AAD and MAD ensemble model achieved the lowest error rate.","PeriodicalId":236017,"journal":{"name":"2019 2nd International Conference on Signal Processing and Information Security (ICSPIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127816238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Smart healthcare systems on improving the efficiency of healthcare services 智能医疗系统对提高医疗服务效率的作用

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/ICSPIS48135.2019.9045894

Sepideh Poorejbari, W. Mansoor

引用次数: 5

Image Steganography using YCbCr Color Space and Matrix Pattern 基于YCbCr色彩空间和矩阵模式的图像隐写

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/ICSPIS48135.2019.9045903

M. Mowafi, Omar Oudat, E. Taqieddin, O. Banimelhem

引用次数: 3

Spatio-temporal Analysis and Machine Learning for Traffic Accidents Prediction 交通事故预测的时空分析与机器学习

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/ICSPIS48135.2019.9045892

Diena Al Dogom, N. Aburaed, M. Al-Saad, S. Almansoori

引用次数: 4

Real-Time Dynamic Security for ProSe in 5G 5G环境下散文的实时动态安全

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/ICSPIS48135.2019.9045904

Filipe Conceição, Nouha Oualha, D. Zeghlache

引用次数: 0

Noninvasive Blood Glucose Estimation Using Pulse Based Cepstral Coefficients 基于脉冲倒谱系数的无创血糖估计

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/ICSPIS48135.2019.9045897

Shraddha K. Habbu, Shrikant Joshi, M. Dale, R. Ghongade

{"title":"Noninvasive Blood Glucose Estimation Using Pulse Based Cepstral Coefficients","authors":"Shraddha K. Habbu, Shrikant Joshi, M. Dale, R. Ghongade","doi":"10.1109/ICSPIS48135.2019.9045897","DOIUrl":"https://doi.org/10.1109/ICSPIS48135.2019.9045897","url":null,"abstract":"In this work we aim to investigate the importance of cepstral coefficients (CC) of Photoplethysmograph (PPG) signal in the estimation of noninvasive blood glucose levels (BGL). Cepstral features are widely used in speech signal processing applications such as robust speech recognition and speech synthesis. We recorded PPG signal of diabetic and non-diabetic subjects. We computed 1) frame based and 2) single pulse based cepstral coefficients of PPG signal to estimate BGL values. The performance of the frame based and single pulse based technique using CC features for BGL estimation are compared based on four performance metrics namely 1) Coefficient of determination i.e. R2, 2) Spearman's and 3)Pearson coefficient of correlation and 4) Clarke error grid analysis. We found that Cepstral features based on single pulse technique outperforms frame based technique in terms of above mentioned performance metrics. We obtained highest R2, Spearman and Pearson coefficient values of 0.90, 0.94, and 0.95 respectively. We also implemented Clarke error grid analysis which is clinically accepted method in BGL estimation. Using Single Pulse technique we obtained 85.2% BGL values in Class A and 13.6% values in class B, where estimation in both classes are clinically accepted. in class B, where estimation in both classes are clinically accepted.","PeriodicalId":236017,"journal":{"name":"2019 2nd International Conference on Signal Processing and Information Security (ICSPIS)","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117326894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

PSD-based Phase Spectrum Compensation Procedure for Arabic Speech Enhancement 基于psd的相位频谱补偿阿拉伯语语音增强程序

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/ICSPIS48135.2019.9045899

A. Mutawa

引用次数: 0

Analysis of CNN Architectures for Pose Estimation of Noisy 3-D Face Images 噪声三维人脸图像姿态估计的CNN体系分析

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/ICSPIS48135.2019.9045906

Randy Pangestu Kuswana, A. Faqih, B. Kusumoputro

引用次数: 0

[Copyright notice] (版权)

2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) Pub Date : 2019-10-01 DOI: 10.1109/icspis48135.2019.9045890

引用次数: 0