FAIR: Fuzzy Alarming Index Rule for Privacy Analysis in Smartphone Apps

Hatamian, Majid, Serna, Jetzabel, Rannenberg, Kai and Igler, Bodo (2017) FAIR: Fuzzy Alarming Index Rule for Privacy Analysis in Smartphone Apps. In: Trust, Privacy and Security in Digital Business. Lecture Notes in Computer Science, 10442 (10442). Springer, Cham, Switzerland, pp. 3-18. ISBN 9783319644837

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Official URL: https://doi.org/10.1007/978-3-319-64483-7_1

Abstract

In this paper, we introduce an approach that aims at increasing individuals’ privacy awareness. We perform a privacy risk assessment of the smartphone applications (apps) installed on a user’s device. We implemented an app behaviour monitoring tool that collects information about access to sensitive resources by each installed app. We then calculate a privacy risk score using a fuzzy logic based approach that considers type, number and frequency of access on resources. The combination of these two concepts provides the user with information about the privacy invasiveness level of the monitored apps. Our approach enables users to make informed privacy decisions, i.e. restrict permissions or report an app based on resource access events. We evaluate our approach by analysing the behaviour of selected apps and calculating their associated privacy score. Initial results demonstrate the applicability of our approach, which allows the comparison of apps by reporting to the user the detected events and the resulting privacy risk score.

Item Type: Book Section
Uncontrolled Keywords: Smartphone apps, Privacy, Usability, Beacon alarming, Privacy risk score, Fuzzy logic
Subjects: G400 Computer Science
G600 Software Engineering
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 03 Mar 2021 10:21
Last Modified: 03 Mar 2021 10:30
URI: http://nrl.northumbria.ac.uk/id/eprint/45596

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