ADLAuth: Passive Authentication Based on Activity of Daily Living Using Heterogeneous Sensing in Smart Cities.

Maryam Naseer Malik,Muhammad Awais Azam,Asra Khalid,Muhammad Ehatisham-Ul-Haq,Waleed Ejaz

doi:10.3390/s19112466

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.

Highlights

The Internet of Things (IoT) is a network that provides a notion of ubiquitously connecting smart sensors, smart devices, and other daily living physical objects, giving rise to smart cities
To perform the continuous authentication for the users, the proposed framework allowed the performance of the recognition of physical activities from both wearables as well as smartphone sensors by analyzing different activities performed by the users, and based on their activity patterns, each user was identified
The proposed framework was tested on three different datasets, two composed of smartphone motion sensors and one wearable inertial measurement unit (IMU)

Summary

Introduction

The Internet of Things (IoT) is a network that provides a notion of ubiquitously connecting smart sensors, smart devices, and other daily living physical objects, giving rise to smart cities. Unlike the traditional internet that offers a connection between the people and a network, IoT aims to provide the connectivity among devices, objects, and human beings for enabling diverse applications for smart cities such as user identification, monitoring, tracking, and control. With flourishing advancement in the field of IoT, an emerging paradigm consisting of ubiquitous sensing has been introduced. The rapid increase in smart sensing capabilities has led to an outburst in the use of smart systems and services, which has encouraged researchers and developers to think about the development of smart cities. Most of the people during their daily routine rely on smart systems and services in terms of social contact, environment, healthcare, transportation, and entertainment

Methods

Results

Conclusion