Beacon Alarming: Informed decision-making supporter and privacy risk analyser in Smartphone applications

Hatamian, Majid and Serna-Olvera, Jetzabel (2017) Beacon Alarming: Informed decision-making supporter and privacy risk analyser in Smartphone applications. In: 2017 IEEE International Conference on Consumer Electronics (ICCE). IEEE, Piscataway, NJ, pp. 468-471. ISBN 9781509055449

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Official URL: https://doi.org/10.1109/ICCE.2017.7889399

Abstract

We are currently confronting with a large number of Smartphone applications, which are developed for different purposes that on the one hand, may benefit users by easing many of their daily tasks, while on the other hand, may threaten their privacy. An important issue regarding this situation is that, smartphone users are often unaware of the privacy risks or even of the data collected by applications running on their devices. For this reason, it is an essential need to make the users aware of the potential misuses as well as the associated privacy risk consequences. In this paper, we introduce a novel approach called Beacon Alarming. Beacon alarming is introduced as a monitoring and permission manager framework to enhance the users awareness of data gathered by their installed applications. We further expand the functionality of our proposed beacon alarming system by employing fuzzy logic in order to assess the privacy risk score of each of the installed applications taking into consideration the information obtained from beacon alarming module. Accordingly, this innovative method enables users to make more logical and informed decisions.

Item Type: Book Section
Additional Information: This research work has received funding from the H2020 Marie Sklodowska-Curie EU project “Privacy&Us” under the grant agreement No 675730.
Uncontrolled Keywords: Consumer electronics, Conferences, Decision making, Smart phones, Privacy, Fuzzy logic, Data privacy
Subjects: G400 Computer Science
G500 Information Systems
G600 Software Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 03 Mar 2021 09:53
Last Modified: 31 May 2021 14:41
URI: http://nrl.northumbria.ac.uk/id/eprint/45595

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