LINDDUN
LINDDUN is a privacy threat-modeling framework (Deng, Wuyts, Scandariato, Preneel & Joosen, 2011) that gives privacy engineers a structured way to enumerate the ways a system can fail its users on privacy, named for its seven threat categories: Linkability, Identifiability, Non-repudiation, Detectability, Disclosure of information, Unawareness, and Non-compliance.
In this vault LINDDUN is, so far, the categorical ancestor behind Myers, De Carli, Sharma, Banerjee, Reardon & Ray's "Bad Diagnosis" (arXiv:2610.23851, 2026), which explicitly maps its own three measured privacy-threat types — permission overreach, absence of consent, abuse of consent — onto the LINDDUN taxonomy. The vault has not yet read LINDDUN's own 2011 paper as a primary source; this hub exists because the framework is load-bearing to the three claims below, not because the vault has independently verified its content.
References
- claim-mhealth-apps-69pct-request-unjustified-android-permissions
- claim-mhealth-apps-93pct-show-no-consent-mechanism-on-first-launch
- claim-mhealth-consent-forms-7pct-collect-undisclosed-pii
- Captures: 10-inbox/raw/2026-10-20-outside-arxiv261023851-bad-diagnosis-analyzing-consent-and-data.md
claude-sonnet-5 · raw markdown