Presentation on theme: "Privacy by Design: Big Privacy for Big Data 2013 Digital Odyssey: Big Data, Small World Ontario Library IT Association Toronto, Canada June 7, 2013."— Presentation transcript:
Privacy by Design: Big Privacy for Big Data 2013 Digital Odyssey: Big Data, Small World Ontario Library IT Association Toronto, Canada June 7, 2013
Overview Introduction to IPC Privacy 101 Challenges to Privacy in the Age of Big Data Privacy by Design Big Privacy for Big Data
Ann Cavoukian, PhD Ontarios Information and Privacy Commissioner Ensure that government organizations (provincial and municipal) comply with freedom of information and privacy laws in Ontario Investigate privacy complaints and resolve appeals when the government refuses to grant access to government-held information Conduct research on and raise awareness of emerging privacy & access to information issues
IPC Philosophy: 3 Cs Consultation: by keeping open lines of communication Co-operation: rather than confrontation in resolving complaints Collaboration: through working together to find solutions
Information privacy refers to the right or ability of individuals to exercise control over the collection, use and disclosure by others of their personal information Personally-identifiable information (PII) can be biographical, biological, genealogical, historical, transactional, locational, relational, computational, vocational or reputational, and is the stuff that makes up our modern identity Personal information must be managed responsibly. When it is not, accountability is undermined and confidence in our evolving information society is eroded. Privacy 101
From PC to Web 4.0 : Challenges to Privacy in the Age of Big Data Radar Networks & Nova Spivack, 2007
Wireless and Mobile: Beware of Unintended Consequences
We need to be more deliberate (about privacy). A lot of information-age architecture is about data: what is collected, who controls it, and how it is used. Data is the lifeblood of the information age, but much of it is very personal. We need to design systems that limit unnecessary data collection, give individuals control over their data, and limit the ability of those in power to use that data for mass surveillance. (Bruce Schneier, IEEE Security & Privacy January/February 2009 )
Data Assets = Data Risks and Liabilities Threats to Privacy
Data Privacy requires Good Data Security but Good Data Security Privacy
Why We Need Privacy by Design Most privacy breaches remain undetected – as regulators, we only see the tip of the iceberg The majority of privacy breaches remain unchallenged, unregulated... unknown Regulatory compliance alone, is unsustainable as the sole model for ensuring the future of privacy
Privacy by Design: The 7 Foundational Principles 1.Proactive not Reactive: Preventative, not Remedial 2.Privacy as the Default 3.Privacy Embedded into Design 4.Full Functionality: Positive-Sum, not Zero-Sum 5.End-to-End Security : Full Lifecycle Protection 6.Visibility and Transparency: Keep it Open 7.Respect for User Privacy: Keep it User-Centric
Security End to End Lifecycle Protection Purpose Specification Data Minimization Privacy as the Default (Setting) Consent, Accuracy, Access Respect for User Privacy Accountability, Openness, Compliance Openness & Transparency Proactive Not Reaction; Preventative Not Remedial Privacy Embedded into Design Full Functionality – Positive-Sum, not Zero-Sum Privacy by Design FIPPs
Privacy by Design Information Technology Accountable Business Practices Physical Design & Infrastructure
De-identification – Data Minimization Restoring the value of de-identification; Challenges in re-identifying de-identified information; The implications of including de-identified information under privacy legislation; Rejecting the zero-sum paradigm; Conducting re-identification risk assessment.
Data Co-management Data accountability Data minimization Data security Data access In the Web 2.0 era, information may very well want to be free but not necessarily personal information! The Big Idea: Data co-management – Citizen participation in the care and management of his/her own personal data held by others throughout the data life cycle
PERSONAL DATA ECOSYSTEM (PERSONAL DATA VAULT/PERSONAL DATA PLATFORM)
UI Design Concepts: Transparency & Trust Context – think of the device as well as the context for how the information will be treated Awareness – does the user know that privacy policies exist and that they can exercise choice Discoverability – ease of finding relevant privacy policies & ease of acting on available privacy settings Comprehension - consider if users can understand the privacy policies & privacy settings to be able to make an informed decision
Privacy by Design in the Age of Big Data and Sensemaking Systems Ability of analytical tools to process & make sense of extremely large sets of structured and unstructured data New class of analytic capability where the data finds the data and the relevance finds the user –Increase in accuracy of data – context reduces ambiguity –Accumulation of bad data = smarter system –As data store increases, context is enhanced = faster results Requires Big Privacy!
PbD Features for Next-generation Sensemaking Systems 1.Full attribution : preserve record metadata; do not allow merge/purge processing 2.Data tethering : any changes to records must apply across the information sharing ecosystem in real-time 3.Analytics on anonymized data : anonymize data at source prior to transfer; utilize homomorphic encryption 4.Tamper-resistant audit logs : every user search logged, even database administrator 5.False negative favoring methods : trust but verify 6.Self-correcting false positives : reverse earlier assertions real-time and scaled 7.Information transfer accounting : capture data flows for discovery by individual
Your identity is your most valuable possession. Protect it. And if anything goes wrong, use your powers. Helen (aka Elastigirl) The Incredibles Disney/Pixar 2004 Patience, Persistence and Faith: The Chronicles of a Crusader Privacy by Design NOT Privacy by Disaster!
How to Contact Us Michelle Chibba, Director, Policy and Special Projects Information and Privacy Commissioners Office of Ontario 2 Bloor Street East, Suite 1400 Toronto, Ontario, Canada M4W 1A8 Phone: (416) / Web: