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Privacy analysis is critical but also a time-consuming and tedious task. Wepresent a formalization which eases designing and auditing high-level privacyproperties of software architectures. It is incorporated into a larger policyanalysis and verification framework and enables the assessment of commonlyaccepted data protection goals of privacy. The formalization is based on statictaint analysis and makes flow and processing of privacy-critical data explicit,globally as well as on the level of individual data subjects. Formally, we showequivalence to traditional label-based information flow security and proveoverall soundness of our tool with Isabelle/HOL. We demonstrate applicabilityin two real-world case studies, thereby uncovering previously unknownviolations of privacy constraints in the analyzed software architectures.

Privacy Assessment of Software Architectures based on Static Taint Analysis