2024/08/07 by Kim Wuyts, Wuyts, Kim, Avi Douglen +1
Computer Science · #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Information and Cyber Security #Privacy-Preserving Technologies in Data
paper · pdf · doi:10.48550/arxiv.2408.03578
openalex publication_date 2024/08/07 · openalex created_date 2024/11/01 · openalex updated_date 2026/07/28
Analyzing privacy threats in software products is an essential part of software development to ensure systems are privacy-respecting; yet it is still a far from trivial activity. While there have been many advancements in the past decade, they tend to focus on describing 'what' the threats are. What isn't entirely clear yet is 'how' to actually find these threats. Privacy is a complex domain. We propose to use four conceptual layers (feature, ecosystem, business context, and environment) to capture this privacy complexity. These layers can be used as a frame to structure and specify the privacy analysis support in a more tangible and actionable way, thereby improving applicability of the analysis process.