Assessing software privacy using the privacy flow-graph

Author:

Tang Feiyang1,Østvold Bjarte M.1

Affiliation:

1. Norwegian Computing Center, Norway

Funder

European Union?s Horizon 2020 research and innovation program

Publisher

ACM

Reference23 articles.

1. Thibaud Antignac and Daniel Le Métayer . 2014. Privacy by design: From technologies to architectures . In Annual privacy forum . Springer , Berlin, Heidelberg . 1–17. Thibaud Antignac and Daniel Le Métayer. 2014. Privacy by design: From technologies to architectures. In Annual privacy forum. Springer, Berlin, Heidelberg. 1–17.

2. Steven Arzt Siegfried Rasthofer and Eric Bodden. 2013. SuSi: A Tool for the Fully Automated Classification and Categorization of Android Sources and Sinks. Steven Arzt Siegfried Rasthofer and Eric Bodden. 2013. SuSi: A Tool for the Fully Automated Classification and Categorization of Android Sources and Sinks.

3. Mining Apps for Abnormal Usage of Sensitive Data

4. Using Static Analysis to Find Bugs

5. The controller’s role in determining ‘high risk’ and data protection impact assessment (DPIA) in developing digital smart city

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1. Search for Structurally Similar Projects of Software Systems;Lecture Notes in Electrical Engineering;2024

2. Static Analysis for Android GDPR Compliance Assurance;2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion);2023-05

3. MSR4P&S 2022 Workshop Summary;ACM SIGSOFT Software Engineering Notes;2023-01-10

4. PABAU: Privacy Analysis of Biometric API Usage;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12

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