Privacy Preservation Model For Data Exposure In Android Smartphone Usage

Statistics show there are 6378 million of smartphone users. The usage of mobile applications in smartphones exposes users to privacy risks. This is due to existing works lacking a formalized mathematical model that can quantify both user and system applications risk. There is also no multifaceted da...

Full description

Saved in:
Bibliographic Details
Main Author: Abu Bakar, Anizah
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:http://eprints.usm.my/59152/1/ANIZAH%20BINTI%20ABU%20BAKAR%20-%20TESIS%20cut.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Statistics show there are 6378 million of smartphone users. The usage of mobile applications in smartphones exposes users to privacy risks. This is due to existing works lacking a formalized mathematical model that can quantify both user and system applications risk. There is also no multifaceted data collector tool to monitor user data collection and risk posed by each application. Besides, there is no risk level benchmark that alerts users and distinguishes between acceptable and unacceptable risk levels in smartphone usage. In order to tackle the privacy risk issue, a formalized privacy model called PRiMo is proposed using tree structure and calculus knowledge to quantify the risk in each application, risk posed by each application category, and overall privacy risk faced by the smartphone user.