WiAU: An accurate device-free authentication system with resnet

Chi Lin, Jiaye Hu, Yu Sun, Fenglong Ma, Lei Wang, Guowei Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The ubiquitous and fine-grained features of WiFi signals make it promising for achieving device-free authentication. However, traditional methods suffer from drawbacks such as sensitivity to environmental dynamics, low accuracy, long delay, etc. In this paper, we introduce how to validate human identity using the ubiquitous WiFi signals. We develop WiAU, a device-free authentication system which only utilizes a Commodity Off-The-Shelf (COTS) router and a laptop. We describe the constitutions of WiAU and how it works in detail. Through collecting channel state information (CSI) profiles, WiAU automatically segments coherent activities and walking gait using an automatic segment algorithm (ASA). Then, a ResNet algorithm with two dedicated loss functions is designed to validate legal users and recognize illegal ones. Finally, experiments are conducted from different scenes to highlight the superiorities of WiAU in terms of high accuracy, short delay and robustness, revealing that WiAU has an accuracy of over 98% in recognizing human identity and human activities respectively.

Original languageEnglish (US)
Title of host publication2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-9
Number of pages9
ISBN (Electronic)9781538642818
DOIs
StatePublished - Jun 26 2018
Event15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018 - Hung Hom, Kowloon, Hong Kong
Duration: Jun 11 2018Jun 13 2018

Publication series

Name2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018

Conference

Conference15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018
CountryHong Kong
CityHung Hom, Kowloon
Period6/11/186/13/18

Fingerprint

Authentication
Channel state information
Routers
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Lin, C., Hu, J., Sun, Y., Ma, F., Wang, L., & Wu, G. (2018). WiAU: An accurate device-free authentication system with resnet. In 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018 (pp. 1-9). (2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAHCN.2018.8397108
Lin, Chi ; Hu, Jiaye ; Sun, Yu ; Ma, Fenglong ; Wang, Lei ; Wu, Guowei. / WiAU : An accurate device-free authentication system with resnet. 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-9 (2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018).
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abstract = "The ubiquitous and fine-grained features of WiFi signals make it promising for achieving device-free authentication. However, traditional methods suffer from drawbacks such as sensitivity to environmental dynamics, low accuracy, long delay, etc. In this paper, we introduce how to validate human identity using the ubiquitous WiFi signals. We develop WiAU, a device-free authentication system which only utilizes a Commodity Off-The-Shelf (COTS) router and a laptop. We describe the constitutions of WiAU and how it works in detail. Through collecting channel state information (CSI) profiles, WiAU automatically segments coherent activities and walking gait using an automatic segment algorithm (ASA). Then, a ResNet algorithm with two dedicated loss functions is designed to validate legal users and recognize illegal ones. Finally, experiments are conducted from different scenes to highlight the superiorities of WiAU in terms of high accuracy, short delay and robustness, revealing that WiAU has an accuracy of over 98{\%} in recognizing human identity and human activities respectively.",
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Lin, C, Hu, J, Sun, Y, Ma, F, Wang, L & Wu, G 2018, WiAU: An accurate device-free authentication system with resnet. in 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018. 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-9, 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018, Hung Hom, Kowloon, Hong Kong, 6/11/18. https://doi.org/10.1109/SAHCN.2018.8397108

WiAU : An accurate device-free authentication system with resnet. / Lin, Chi; Hu, Jiaye; Sun, Yu; Ma, Fenglong; Wang, Lei; Wu, Guowei.

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-9 (2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lin C, Hu J, Sun Y, Ma F, Wang L, Wu G. WiAU: An accurate device-free authentication system with resnet. In 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-9. (2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018). https://doi.org/10.1109/SAHCN.2018.8397108