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A Learning Approach for Physical Layer Authentication Using Adaptive Neural Network

Autor: Monson H. Hayes, Jianmei Dai, Xiaoying Qiu

Publikováno v: IEEE Access, Vol 8, Pp 26139-26149 (2020)

In communications, innovative paradigm shifts have emerged in integrating various devices into the network to provide advanced and intelligent services. However, various security threats may occur that may not always be detected using traditional cry

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::589283ffb65c617f4b2ac53e69969157
https://ieeexplore.ieee.org/document/8979381/

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Enhanced Security Authentication Based on Convolutional-LSTM Networks

Autor: Xiaoying Qiu, Monson H. Hayes, Xuan Sun

Publikováno v: Sensors
Volume 21
Issue 16
Sensors, Vol 21, Iss 5379, p 5379 (2021)
Sensors (Basel, Switzerland)

The performance of classical security authentication models can be severely affected by imperfect channel estimation as well as time-varying communication links. The commonly used approach of statistical decisions for the physical layer authenticator

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed50270ab6c402eeafe1e95ad9f21ac

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Physical Layer Authentication Enhancement Using a Gaussian Mixture Model

Autor: Ting Jiang, Xiaoying Qiu, Monson H. Hayes, Sheng Wu

Publikováno v: IEEE Access, Vol 6, Pp 53583-53592 (2018)

Wireless networks strive to integrate information technology into every corner of the world. This openness of radio propagation is one reason why holistic wireless security mechanisms only rarely enter the picture. In this paper, we propose a physica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::208c9b1243e7cb993019b9c5af427784
https://ieeexplore.ieee.org/document/8468974/

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Wireless User Authentication Based on KLT and Gaussian Mixture Model

Autor: Abderrahim Benslimane, Xiaoying Qiu, Sheng Wu, Haipeng Yao, Monson H. Hayes, Chunxiao Jiang, Ting Jiang

Publikováno v: WCNC

Physical (PHY)-layer security has received considerable interest as a way to safeguard data confidentiality and achieve security and privacy in wireless networks. Authentication between two devices is a challenging problem. In this paper, a machine l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a159eb86a189fd9cca3ab6d926b43650
https://doi.org/10.1109/wcnc.2019.8885922

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Three Dimensional Pose Estimation for Laboratory Mouse From Monocular Images

Autor: Monson H. Hayes, Jonathan Krynitsky, Thomas Pohida, Ghadi Salem, Xavier P. Burgos-Artizzu

Publikováno v: IEEE Trans Image Process

Video-based activity and behavior analysis of mice has garnered wide attention in biomedical research. Animal facilities hold large numbers of mice housed in “home-cages” densely stored within ventilated racks. Automated analysis of mice activity

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9e1c537f7711411382d3cf938b1d5ca
https://europepmc.org/articles/PMC6677238/

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Face recognition for vehicle personalization with near infrared frame differencing

Autor: Jinwoo Kang, Monson H. Hayes, David V. Anderson

Publikováno v: IEEE Transactions on Consumer Electronics. 62:316-324

This paper describes a system of practical technologies to implement an illumination-robust, consumer grade biometric system based on face recognition to be used in the automotive market. Most current face recognition systems are compromised in accur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ae18162838862d972aefe8a980e9542f
https://doi.org/10.1109/tce.2016.7613199

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Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows

Autor: Marcelino Lázaro, Aníbal R. Figueiras-Vidal, Monson H. Hayes

Publikováno v: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname

A new training algorithm for neural networks in binary classification problems is presented. It is based on the minimization of an estimate of the Bayes risk by using Parzen windows applied to the final one-dimensional nonlinear transformation of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a8879f686084659211d01cbb9e84f95
https://hdl.handle.net/10016/28445

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Audio-video based character recognition for handwritten mathematical content in classroom videos

Autor: Monson H. Hayes, Smita Vemulapalli

Publikováno v: Integrated Computer-Aided Engineering. 21:219-234

Recognizing handwritten equations is a challenging problem, and even more so when they are written in a classroom environment. However, since videos of the handwritten text and the accompanying audio refer to the same content, a combination of video

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b05af76818636b291078965bc8b37c9b
https://doi.org/10.3233/ica-140460

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