Abstract
The lack of privacy awareness in smartphone ecosystems prevents users from being able to compare apps in terms of privacy and from making informed privacy decisions. In this paper we analysed smartphone users' privacy perceptions and concerns based on a novel privacy enhancing tool called Android Apps Behaviour Analyser (A3). The A3 tool enables user to behaviourally analyse the privacy aspects of their
installed apps and notifies about potential privacy invasive activities. To examine the capabilities of A3 we designed a user study. We captured and contrasted privacy concern and perception of 52 participants, before and after using our tool. The results showed that A3 enables users to easily detect their smartphone app's privacy violation activities. Further, we found that there is a significant difference between users' privacy concern and expectation before and after using A3 and the majority of them were surprised to learn how often their installed apps access personal resources. Overall, we observed that the A3 tool was capable the influence the participants' attitude towards protecting their privacy.
installed apps and notifies about potential privacy invasive activities. To examine the capabilities of A3 we designed a user study. We captured and contrasted privacy concern and perception of 52 participants, before and after using our tool. The results showed that A3 enables users to easily detect their smartphone app's privacy violation activities. Further, we found that there is a significant difference between users' privacy concern and expectation before and after using A3 and the majority of them were surprised to learn how often their installed apps access personal resources. Overall, we observed that the A3 tool was capable the influence the participants' attitude towards protecting their privacy.
Originalsprache | Englisch |
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Titel des Sammelwerks | Data and Applications Security and Privacy XXXII |
Herausgeber*innen | Florian Kerschbaum, Stefano Paraboschi |
Erscheinungsort | Bergamo, Italy |
Verlag | IFIP International Federation for Information Processing 2018 |
Seiten | 198 - 215 |
ISBN (Print) | 978-3-319-95728-9 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2018 |