Mixing Identities with Ease

Patrik Bichsel, Jan CamenischIBM Research – Zurich18 November 2010

IFIP IDMAN 2010, Oslo

IBM Research – Zurich

Motivation

Where do we authenticate?

Motivation

Where do we authenticate?

Motivation

Identification instead of authentication

Dispersion of many attributes

Profiling and behavioral analysis

Loss of control over their own data

ProblemWe communicate too much information!

SolutionUse privacy-friendly authentication solutions such as anonymous

credential systems.

Motivation

credential systems.

Motivation

credential systems.

Motivation

credential systems.

Motivation

credential systems.

Outline

Motivation

Identity Mixer

Introduction

Challenges

Specification Language

Conclusion

Outline

Motivation

Identity Mixer

Introduction

Challenges

Conclusion

Outline

Motivation

Identity Mixer

Introduction

Challenges

Conclusion

Outline

Motivation

Identity Mixer

Introduction

Challenges

Conclusion

Identity Mixer Introduction

Outline

Motivation

Identity Mixer

Introduction

Challenges

Conclusion

Identity Mixer - ChallengesIssuing Protocol

Description of Credentials

Signing unknown and committed attributes

Creating credential updates

Proving ProtocolSelective release of attributes

Property proofs (e.g., inequality, set membership)

Additional cryptographic values (e.g., verifiable encryption)

Usage limitation

Outline

Motivation

Identity Mixer

Introduction

Challenges

Conclusion

Specification Language - Credential Structure

Specification Language - Proof Specification

Conclusion

ResultsAbstraction from underlying cryptography

Language for system components

Implementation

Future WorkConnection to Standards (e.g., SAML)

Interoperability (e.g., U-Prove)

Conclusion

Implementation

Conclusion

Implementation

Conclusion

Finally we can use advanced authentication systems!

Thank you!

Implementation http://prime.inf.tu-dresden.de/idemix/

Talk http://www.zurich.ibm.com/˜pbi/

Mixing Identities with Ease

Technology

Transcript of Mixing Identities with Ease

Chapter 4 Identities 4.1 Fundamental Identities and Their Use 4.2 Verifying Trigonometric Identities 4.3 Sum, Difference, and Cofunction Identities 4.4.

mrsharringtoncva.weebly.com · Web viewTrigonometric Identities Reciprocal Identities: Quotient Identities Pythagorean Identities Test your skills Answer each of the following. Choose

Legal identities

5.1 Using Fundamental Identities. Fundamental Trigonometric Identities.

Green Identities

dashboard.globalsemesters.comdashboard.globalsemesters.com/gls/res/internal_programs... · Web viewCuban art and dance reflect the cultural mixing of identities and elements of European

Algebraic identities

Dyadics Identities

ease of cycle and walk access to Bicester's railway stations Integrate sustainable land use and transport proposals in all new development Maintain the character and separate identities

Trig Identities. Reciprocal Identities OR Pythagorean Identities OR Quotient Identities.

Waterborne identities

The evolution of visual identities from static identities ... · The evolution of visual identities from static identities to dynamic identities David Delahunty A dissertation submitted

Postmodern Identities

Slide 1-1 5.1 Fundamental Identities 5.2 Verifying Trigonometric Identities 5.3 Sum and Difference Identities for Cosine 5.4 Sum and Difference Identities.

because the underlying identities have · Strong authentication provides even greater assurance for Service Providers particularly when accessing sensitive data or services.” Ease

Hidden identities · 2018. 1. 2. · Hidden identities Basic examples Remarkable identities for matrices Identities in rings Other structures Hidden identities Friedrich Wehrung Universit

Scholars in the Open: Networked Identities vs. Institutional Identities

Gosselain Identities

Trig Identities

Section 5.1 Simplifying More Trig Expressions Fundamental Trigonometric Identities: Reciprocal Identities: Quotient Identities: Pythagorean Identities: