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LINDDUN Methodology
A privacy-focused threat-modeling methodology that helps identify privacy threats in a system, structured around categories like linkability, identifiability, and non-compliance, complementing security-focused models like STRIDE.
LINDDUN is a methodology for systematically finding privacy threats, its name an acronym for privacy threat categories (linkability, identifiability, non-repudiation, detectability, disclosure of information, unawareness, non-compliance). It guides analysts to examine data flows for privacy risks the way STRIDE does for security threats, making it valuable for privacy-by-design. Using LINDDUN helps teams address privacy threats deliberately rather than only security ones, especially important under privacy regulation.
Introduced in: Applied Threat Modeling
Examples
- Analyzing a data flow for linkability and identifiability threats.
- Using LINDDUN to surface privacy risks during design.
- Complementing STRIDE security modeling with LINDDUN privacy modeling.
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