Paper Info
Title
ADLAuth: Passive Authentication Based on Activity of Daily Living Using Heterogeneous Sensing in Smart Cities.
Abstract
The Internet of Things is a rapidly growing paradigm for smart cities that provides a way of communication, identification, and sensing capabilities among physically distributed devices. With the evolution of the Internet of Things (IoTs), user dependence on smart systems and services, such as smart appliances, smartphone, security, and healthcare applications, has been increased. This demands secure authentication mechanisms to preserve the users' privacy when interacting with smart devices. This paper proposes a heterogeneous framework ADLAuth for passive and implicit authentication of the user using either a smartphone's built-in sensor or wearable sensors by analyzing the physical activity patterns of the users. Multiclass machine learning algorithms are applied to users' identity verification. Analyses are performed on three different datasets of heterogeneous sensors for a diverse number of activities. A series of experiments have been performed to test the effectiveness of the proposed framework. The results demonstrate the better performance of the proposed scheme compared to existing work for user authentication.
Year
DOI
Venue
2019
10.3390/s19112466
SENSORS
Keywords
Field
DocType
smartphone,continuous user authentication,behavioral biometrics,physical activity,user identification,heterogeneous sensors,ubiquitous computing,smart cities
Authentication,Activities of daily living,Smart system,Wearable computer,Internet of Things,Electronic engineering,Human–computer interaction,Engineering,Ubiquitous computing,Secure authentication
Journal
Volume
Issue
ISSN
19
11
1424-8220
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Maryam Naseer100.34
Muhammad Awais Azam217824.45
Muhammad Ehatisham-ul-Haq3276.73
Waleed Ejaz427834.18
Asra Khalid5343.54