LINDDUN
Details
- Full Name
-
LINDDUN Privacy Threat Modeling Framework
- Also known as
-
LINDDUN GO, Privacy Threat Modeling, Privacy STRIDE
Core Concepts:
- Linkability
-
Attacker can link two items of interest (e.g., data items, messages, or actions) without knowing the identity of the data subject
- Identifiability
-
Attacker can identify a data subject from a set of data subjects through items of interest
- Non-repudiation
-
Data subject cannot deny having performed an action or having sent a message; system logs become a liability
- Detectability
-
Attacker can deduce the existence or absence of a data item or communication, even without access to its content
- Disclosure of Information
-
Unauthorized exposure of data to a party without the data subject’s consent; classical confidentiality breach from a privacy perspective
- Unawareness
-
Data subjects are not sufficiently informed about the collection, processing, storage, and sharing of their personal data; violates transparency principles
- Non-compliance
-
System does not comply with privacy legislation, regulations, or organizational privacy policies (e.g., GDPR, CCPA, HIPAA)
- Key Proponents
-
Kim Wuyts, Riccardo Scandariato, Wouter Joosen (KU Leuven / DistriNet Research Group, published 2014)
When to Use:
-
Conducting privacy threat modeling during the design or architecture phase
-
Performing privacy impact assessments (PIA) or data protection impact assessments (DPIA)
-
Identifying privacy risks in systems that handle personal data
-
Evaluating compliance with GDPR, CCPA, HIPAA, and other privacy regulations
-
Integrating Privacy by Design into the software development lifecycle
-
Training development teams on privacy engineering concepts
Related Anchors:
Current Status:
-
The prior likely reflects the original academic LINDDUN of the 2010s: a single heavyweight DFD-based method with the old seven categories including plain "Unawareness"
-
Current LINDDUN (KU Leuven) is a family of three flavors — GO (33-card lightweight deck, 2024 redesign), PRO (systematic), and MAESTRO (most thorough) — built on a 2024-updated threat knowledge base where the "U" became "Unawareness & Unintervenability"