2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)最新文献

MorGAN: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Generative Adversarial Network MorGAN:基于生成对抗网络的人脸变形攻击的识别漏洞和攻击可检测性

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/BTAS.2018.8698563

N. Damer, Alexandra Mosegui Saladie, Andreas Braun, Arjan Kuijper

{"title":"MorGAN: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Generative Adversarial Network","authors":"N. Damer, Alexandra Mosegui Saladie, Andreas Braun, Arjan Kuijper","doi":"10.1109/BTAS.2018.8698563","DOIUrl":"https://doi.org/10.1109/BTAS.2018.8698563","url":null,"abstract":"Face morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like border crossing. Research has been focused on creating more accurate attack detection approaches by considering different image properties. However, all the attacks considered so far are based on manipulating facial landmarks localized in the morphed face images. In contrast, this work presents novel face morphing attacks based on image generated by generative adversarial networks. We present the MorGAN structure that considers the representation loss to successfully create realistic morphing attacks. Based on that, we present a novel face morphing attacks database (MorGAN database) that contains 1000 morph images for both, the proposed MorGAN and landmark-based attacks. We present vulnerability analysis of two face recognition approaches facing the proposed attacks. Moreover, the detectability of the proposed MorGAN attacks is studied, in the scenarios where this type of attacks is know and un- known. We concluded with pointing out the challenge of detecting such unknown novel attacks and an analysis of detection performances of different features in detecting such attacks.","PeriodicalId":409205,"journal":{"name":"2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116002531","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: 84

IJB–S: IARPA Janus Surveillance Video Benchmark IJB-S: IARPA Janus监控视频基准

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/BTAS.2018.8698584

Nathan D. Kalka, Brianna Maze, James A. Duncan, Kevin OrConnor, S.J. Elliott, Kaleb Hebert, Julia Bryan, Anil K. Jain

引用次数: 48

Fingerprint Template Ageing Revisited - It’s the Quality, Stupid! 指纹模板老化问题重见——是质量问题，傻瓜!

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/BTAS.2018.8698566

Simon Kirchgasser, A. Uhl, Katy Castillo-Rosado, David Estevez-Bresó, Emilio Rodriguez-Hernandez, José Hernández Palancar

引用次数: 3

Body-Taps: Authenticating Your Device Through Few Simple Taps 身体轻触:通过几个简单的轻触来验证你的设备

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/BTAS.2018.8698602

Diksha Shukla, Guangcheng Wei, Donghua Xue, Zhanpeng Jin, V. Phoha

{"title":"Body-Taps: Authenticating Your Device Through Few Simple Taps","authors":"Diksha Shukla, Guangcheng Wei, Donghua Xue, Zhanpeng Jin, V. Phoha","doi":"10.1109/BTAS.2018.8698602","DOIUrl":"https://doi.org/10.1109/BTAS.2018.8698602","url":null,"abstract":"To fulfill the increasing demands on authentication methods on the smart mobile and wearable devices with small form factors and constrained screen displays, we introduce a novel authentication mechanism, Body-Taps, which authenticates a device based on the Tap-Code gestures in the form of hand movements captured through the built-in motion sensors. The Body-Taps require a user to set a TapCode as an unlock code for the device by tapping the device on the set anchor points on his or her own body. The target device is authenticated based on two criterion: (1) the user’s knowledge of the set Tap-Code, and (2) the BodyTap gestures measured through the smart device’s built-in motion sensors (accelerometer and gyroscope). Our experiments show that the proposed Body-Taps system can achieve an average authentication accuracy over 99.5% on a dataset comprising of 230 Body-Tap samples from 23 subjects, using Random Forest (RF), Neural Network (NNet), and Linear Discriminant Analysis (LDA) classifiers. Our work yields a light-weight, low-cost, and easy-to-use secure authentication system that requires minimal efforts and offers satisfactory usability.","PeriodicalId":409205,"journal":{"name":"2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128861840","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: 4

Recent Advances in Biometric Technology for Mobile Devices 移动设备生物识别技术的最新进展

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/BTAS.2018.8698587

Abhijit Das, Chiara Galdi, Hu Han, Raghavendra Ramachandra, J. Dugelay, A. Dantcheva

引用次数: 32

BTAS 2018 Cover Page BTAS 2018封面

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/btas.2018.8698568

引用次数: 0

Who wants Continuous Authentication on Mobile Devices? 谁需要移动设备上的持续身份验证?

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/BTAS.2018.8698599

Sanka Rasnayaka, T. Sim

{"title":"Who wants Continuous Authentication on Mobile Devices?","authors":"Sanka Rasnayaka, T. Sim","doi":"10.1109/BTAS.2018.8698599","DOIUrl":"https://doi.org/10.1109/BTAS.2018.8698599","url":null,"abstract":"Continuous Authentication (CA) is the process of using biometrics to transparently authenticate the user. Since a CA system continuously checks for the presence of the logged in user it is more secure and facilitates schemes with multiple levels of security. CA is suitable for mobile platforms due to the ease of use, transparency and security it provides. We evaluate the usability of CA in a widespread manner by conducting a survey with roughly 500 respondents. This is the first paper to relate perceptions toward CA to the users security awareness.The perceptions of security towards biometrics based methods have improved over the last 20 years, compared to secret based methods. We show that now, biometrics are perceived to be more secure than other methods. We found that users see a requirement for multiple levels of security. Furthermore users are willing to adopt CA for mobile devices. We analyze factors like security awareness, gender and mobile device operating system, to draw statistically significant conclusions regarding their effect on users willingness to adopt CA and their perceptions about CA.The findings and major concerns highlighted in this paper should be considered when designing a CA system for mobile devices.","PeriodicalId":409205,"journal":{"name":"2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)","volume":"413 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116181724","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: 12

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/btas.2018.8698541

引用次数: 0

From Hard to Soft Biometrics Through DNN Transfer Learning 从硬到软的生物识别通过DNN迁移学习

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/BTAS.2018.8698589

Eduardo Ramos-Muguerza, Laura Docío Fernández, J. Alba-Castro

引用次数: 1

Novel Biometrics: Analysis of an Unattended Health Monitoring System 新型生物识别技术:无人值守健康监测系统分析

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2018-10-01 DOI: 10.1109/BTAS.2018.8698600

W. Ku, Nicholas J Conn, D. Borkholder, Ifeoma Nwogu

{"title":"Novel Biometrics: Analysis of an Unattended Health Monitoring System","authors":"W. Ku, Nicholas J Conn, D. Borkholder, Ifeoma Nwogu","doi":"10.1109/BTAS.2018.8698600","DOIUrl":"https://doi.org/10.1109/BTAS.2018.8698600","url":null,"abstract":"In-home monitoring technologies have the potential to transform the healthcare system. With the increasing number and variety of connected devices that can be accessed by multiple users, the need for seamless authentication and identification mechanisms is greater now than ever. Seamless, non-interruptive mechanisms are required to personalize these devices and non-intrusive biometric technologies are gaining popularity as an answer to this automated personalization challenge. In this work, we evaluate the biometric efficacies of a fully integrated toilet (FIT) seat, designed for monitoring a subjects cardiac health parameters such as electrocardiogram (ECG), ballistocardiogram (BCG) and weight measures, all in the home without any change in daily habits. We assess the system on data obtained from 22 healthy subjects with measurements taken over an 8-week period, in order to obtain the optimal combination of features, classifiers and enrollment record size. We found the multi-class SVM classifier along with all features extracted from the raw measurements to be the best performing combination. This combination produced an area under curve (AUC) value of 0.86. When tested for its person identification performance, we obtained an average accuracy of 75%. We have therefore demonstrated that the biometric capacities of the FIT seat shows a strong potential for deployment in real-life, multi-user, in-home settings.","PeriodicalId":409205,"journal":{"name":"2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130011135","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: 1