publication . Conference object . Part of book or chapter of book . 2019

A Multilateral Privacy Impact Analysis Method for Android Apps

Majid Hatamian; Nurul Momen; Lothar Fritsch; Kai Rannenberg;
Open Access English
  • Published: 01 Jan 2019
  • Publisher: Springer
Smartphone apps have the power to monitor most of people’s private lives. Apps can permeate private spaces, access and map social relationships, monitor whereabouts and chart people’s activities in digital and/or real world. We are therefore interested in how much information a particular app can and intends to retrieve in a smartphone. Privacy-friendliness of smartphone apps is typically measured based on single-source analyses, which in turn, does not provide a comprehensive measurement regarding the actual privacy risks of apps. This paper presents a multi-source method for privacy analysis and data extraction transparency of Android apps. We describe how we ...
Persistent Identifiers
Medical Subject Headings: mental disorders
ACM Computing Classification System: GeneralLiterature_INTRODUCTORYANDSURVEY
free text keywords: Data extraction, Android (operating system), Profiling (computer programming), Computer science, Internet privacy, business.industry, business, Analysis method, Test set, Transparency (graphic), Privacy policy, Smartphone app
Related Organizations
Funded by
EC| Privacy.Us
Privacy and Usability
  • Funder: European Commission (EC)
  • Project Code: 675730
  • Funding stream: H2020 | MSCA-ITN-ETN
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