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Investigating Users’ Reaction to Fine-Grained Data Requests: A Market Experiment

Eling, Nicole ; Rasthofer, Siegfried ; Kolhagen, Max ; Bodden, Eric ; Buxmann, Peter (2016)
Investigating Users’ Reaction to Fine-Grained Data Requests: A Market Experiment.
Hawaii International Conference on System Sciences (HICSS). Grand Hyatt, Kauai, HI, USA (05.-08.01.2016)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The market for smartphone applications is steadily growing. Unfortunately, along with this growth, the number of malicious applications is increasing as well. To identify this malware, various automatic code-analysis tools have been developed. These tools are able to assess the risk associated with a specific app. However, informing users about these findings is often difficult. Currently, on Android, users decide about applications based on coarse-grained permission dialogs during installation. As these dialogs are quite abstract, many users do not read or understand them. Thus, to make the more detailed findings from security research accessible, new mechanisms for privacy communication need to be assessed. In our market experiment, we investigate how fine-grained data requests during runtime affect users’ information disclosure. We find that many users reverse their decision when prompted with a fine-grained request. Additionally, an effect of security awareness and level of detail on disclosure was found.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2016
Autor(en): Eling, Nicole ; Rasthofer, Siegfried ; Kolhagen, Max ; Bodden, Eric ; Buxmann, Peter
Art des Eintrags: Bibliographie
Titel: Investigating Users’ Reaction to Fine-Grained Data Requests: A Market Experiment
Sprache: Englisch
Publikationsjahr: 2016
Veranstaltungstitel: Hawaii International Conference on System Sciences (HICSS)
Veranstaltungsort: Grand Hyatt, Kauai, HI, USA
Veranstaltungsdatum: 05.-08.01.2016
Kurzbeschreibung (Abstract):

The market for smartphone applications is steadily growing. Unfortunately, along with this growth, the number of malicious applications is increasing as well. To identify this malware, various automatic code-analysis tools have been developed. These tools are able to assess the risk associated with a specific app. However, informing users about these findings is often difficult. Currently, on Android, users decide about applications based on coarse-grained permission dialogs during installation. As these dialogs are quite abstract, many users do not read or understand them. Thus, to make the more detailed findings from security research accessible, new mechanisms for privacy communication need to be assessed. In our market experiment, we investigate how fine-grained data requests during runtime affect users’ information disclosure. We find that many users reverse their decision when prompted with a fine-grained request. Additionally, an effect of security awareness and level of detail on disclosure was found.

Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management
Hinterlegungsdatum: 25 Sep 2015 14:41
Letzte Änderung: 09 Feb 2018 13:38
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