SN Applied Sciences, Volume (1), No (9), Year (2019-8)

Title : ( Sparse coding-based feature extraction for biometric remote authentication in Internet of Things )

Authors: Ali Jaber Taresh Alchaab ,

Citation: BibTeX | EndNote

Abstract

In recent years, Internet of Things (IoT) has attracted lots of attention. However, the security related issues such as authentication remain a challenge. The heterogeneity of IoT in terms of devices and communication makes most existing authentication mechanisms inapplicable. So, there is a need for a two-factor authentication mechanism to obtain an end-to-end authentication between IoT devices/applications. In this paper, we propose a sparse coding based feature extraction for biometric remote user authentication. The proposed scheme makes use of sparse codes hash operations and overcomplete dictionary to store/retrieve the biometric data efficiently. The performance analysis proves that the proposed method is robust against noise and able to obtain the accuracy of 0.97.

Keywords

Internet of Things · Security · Authentication · Biometric · Sparse coding
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1076209,
author = {Alchaab, Ali Jaber Taresh},
title = {Sparse coding-based feature extraction for biometric remote authentication in Internet of Things},
journal = {SN Applied Sciences},
year = {2019},
volume = {1},
number = {9},
month = {August},
issn = {2523-3963},
keywords = {Internet of Things · Security · Authentication · Biometric · Sparse coding},
}

[Download]

%0 Journal Article
%T Sparse coding-based feature extraction for biometric remote authentication in Internet of Things
%A Alchaab, Ali Jaber Taresh
%J SN Applied Sciences
%@ 2523-3963
%D 2019

[Download]