AS/NZS ISO/IEC 27559:2024
Information security, cybersecurity and privacy protection – Privacy enhancing data de-identification framework
Standard identically adopts ISO/IEC 27559:2022, which provides a framework for identifying and mitigating re-identification risks and risks associated with the lifecycle of de-identified data.
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AS/NZS ISO/IEC 27559:2024 Privacy enhancing data de-identification framework
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviated terms
5 Overview
6 Context assessment
6.1 General
6.2 Threat modelling
6.2.1 General
6.2.2 Security and privacy practices
6.2.3 Motives and capacity to re-identify
6.3 Transparency and impact assessment
6.3.1 General
6.3.2 Transparency of actions and stakeholder engagement
6.3.3 Privacy-related harms
7 Data assessment
7.1 General
7.2 Data features
7.2.1 General
7.2.2 Data principals
7.2.3 Data type
7.2.4 Attribute types
7.2.5 Dataset properties
7.3 Attack modelling
7.3.1 General
7.3.2 Maximum or average risk
7.3.3 Population or sample-based attack
7.3.4 Data privacy models
8 Identifiability assessment and mitigation
8.1 General
8.2 Assessing identifiability
8.2.1 General
8.2.2 Quantifying identifiability
8.2.3 Adversarial testing
8.3 Mitigation
8.3.1 General
8.3.2 Reconfiguring the environment
8.3.3 Transforming the data
8.3.4 Re-evaluation
9 De-identification governance
9.1 General
9.2 Before data are made available
9.2.1 General
9.2.2 Assigning roles and responsibilities
9.2.3 Establishing principles, policies and procedures
9.2.4 Identifying and managing a data disclosure
9.2.5 Communicating with stakeholders
9.3 After data are made available
9.3.1 General
9.3.2 Monitoring the data environment
9.4 Mitigation in case of incident
Annex A (informative) Example identifiers
Annex B (informative) Example threshold identifiability benchmarks
Bibliography
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AS/NZS ISO/IEC 27559:2024 Privacy enhancing data de-identification framework
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviated terms
5 Overview
6 Context assessment
6.1 General
6.2 Threat modelling
6.2.1 General
6.2.2 Security and privacy practices
6.2.3 Motives and capacity to re-identify
6.3 Transparency and impact assessment
6.3.1 General
6.3.2 Transparency of actions and stakeholder engagement
6.3.3 Privacy-related harms
7 Data assessment
7.1 General
7.2 Data features
7.2.1 General
7.2.2 Data principals
7.2.3 Data type
7.2.4 Attribute types
7.2.5 Dataset properties
7.3 Attack modelling
7.3.1 General
7.3.2 Maximum or average risk
7.3.3 Population or sample-based attack
7.3.4 Data privacy models
8 Identifiability assessment and mitigation
8.1 General
8.2 Assessing identifiability
8.2.1 General
8.2.2 Quantifying identifiability
8.2.3 Adversarial testing
8.3 Mitigation
8.3.1 General
8.3.2 Reconfiguring the environment
8.3.3 Transforming the data
8.3.4 Re-evaluation
9 De-identification governance
9.1 General
9.2 Before data are made available
9.2.1 General
9.2.2 Assigning roles and responsibilities
9.2.3 Establishing principles, policies and procedures
9.2.4 Identifying and managing a data disclosure
9.2.5 Communicating with stakeholders
9.3 After data are made available
9.3.1 General
9.3.2 Monitoring the data environment
9.4 Mitigation in case of incident
Annex A (informative) Example identifiers
Annex B (informative) Example threshold identifiability benchmarks
Bibliography
AS/NZS ISO/IEC 27559:2024
Online Library subscription information
Online library subscriptions provide a cost-effective solution for organisations of any size to access the latest standards, offering 24/7 access to a personalised catalogue. The service ensures subscribers have have the most up-to-date version of selected standards, incluing automatic updates for any amendments or versions. Pricing is dependent on the chosen standards and the number of concurrent users, with discounts applied from the standards PDF price. For customised subscriptions or further inquiries, contact the Online Library team.