Mobile terminal identity authentication system based on behavioral characteristics

We propose a new type of authentication system based on behavioral characteristics for smartphone users. With the sensor and touch screen data in the smartphone, the combination of the motion state detection mode and the authentication mode can effectively distinguish between legitimate smartphone u...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaoshi Liang, Futai Zou, Linsen Li, Ping Yi
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147719899371
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832556774406750208
author Xiaoshi Liang
Futai Zou
Linsen Li
Ping Yi
author_facet Xiaoshi Liang
Futai Zou
Linsen Li
Ping Yi
author_sort Xiaoshi Liang
collection DOAJ
description We propose a new type of authentication system based on behavioral characteristics for smartphone users. With the sensor and touch screen data in the smartphone, the combination of the motion state detection mode and the authentication mode can effectively distinguish between legitimate smartphone users and other users. The system deploys software on the smartphone to collect data from sensors and touch screens, and upload the data to the cloud. We apply random forest algorithm on the data to extract features and achieve motion state detection. Multilayer perceptron algorithm is used for user authentication in corresponding motion state. The system effectively implements an implicit and continuous authentication mode, which can achieve user identity authentication without users’ being aware of it. The system proposed in this article can achieve 95.96% accuracy with false rejection rate of 2.55% and false acceptance rate of 6.94%.
format Article
id doaj-art-c455196d312a4179b8b41166cf30bfe5
institution Kabale University
issn 1550-1477
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-c455196d312a4179b8b41166cf30bfe52025-02-03T05:44:34ZengWileyInternational Journal of Distributed Sensor Networks1550-14772020-01-011610.1177/1550147719899371Mobile terminal identity authentication system based on behavioral characteristicsXiaoshi LiangFutai ZouLinsen LiPing YiWe propose a new type of authentication system based on behavioral characteristics for smartphone users. With the sensor and touch screen data in the smartphone, the combination of the motion state detection mode and the authentication mode can effectively distinguish between legitimate smartphone users and other users. The system deploys software on the smartphone to collect data from sensors and touch screens, and upload the data to the cloud. We apply random forest algorithm on the data to extract features and achieve motion state detection. Multilayer perceptron algorithm is used for user authentication in corresponding motion state. The system effectively implements an implicit and continuous authentication mode, which can achieve user identity authentication without users’ being aware of it. The system proposed in this article can achieve 95.96% accuracy with false rejection rate of 2.55% and false acceptance rate of 6.94%.https://doi.org/10.1177/1550147719899371
spellingShingle Xiaoshi Liang
Futai Zou
Linsen Li
Ping Yi
Mobile terminal identity authentication system based on behavioral characteristics
International Journal of Distributed Sensor Networks
title Mobile terminal identity authentication system based on behavioral characteristics
title_full Mobile terminal identity authentication system based on behavioral characteristics
title_fullStr Mobile terminal identity authentication system based on behavioral characteristics
title_full_unstemmed Mobile terminal identity authentication system based on behavioral characteristics
title_short Mobile terminal identity authentication system based on behavioral characteristics
title_sort mobile terminal identity authentication system based on behavioral characteristics
url https://doi.org/10.1177/1550147719899371
work_keys_str_mv AT xiaoshiliang mobileterminalidentityauthenticationsystembasedonbehavioralcharacteristics
AT futaizou mobileterminalidentityauthenticationsystembasedonbehavioralcharacteristics
AT linsenli mobileterminalidentityauthenticationsystembasedonbehavioralcharacteristics
AT pingyi mobileterminalidentityauthenticationsystembasedonbehavioralcharacteristics