1. Privacy-Preserving Multibiometric Authentication in Cloud
FACULTY OF ENGINEERING COSIC
Privacy-Preserving Multibiometric Authentication in Cloud
Authors: Christina-Angeliki Toli, Abdelrahaman Aly and Bart Preneel
KU Leuven, ESAT/COSIC and imec
Euro S&P 2017
2nd IEEE European Symposium on Security and Privacy
Paris, France 27 April 2017

2. Motivation Cloud-based biometric applications
Privacy-by-design approaches
Link the pattern recognition area with applied crypto
Biometrics integration is still an “open problem”
Addressing the topic from a multimodal perspective, taking into account impacts on performance
Secure Multiparty Computation (MPC)

3. Layout
Figure: Multimodal Biometric Authentication in Cloud Environment

4. Contribution
Re-use the prior stored unimodal templates, avoiding the auxiliary temporary or permanent storage
A user-specific performance-dependent weighted score level fusion strategy
MPC protocols for cloud in a privacy-preserving decentralized manner
Threats from parties with competing interest, collusion models, security and privacy perspectives
Entity learns only the {0,1} value of the final result

5. Resutls
Authentication/identification by setting up a FAR or FRR-dependent fusion
The operation is dynamic
Stored templates, matching, normalized and fusion scores are inaccessible
Privacy of user's information from the output party
Limitation: Identification is time-consuming processes
Future work: Fusion accuracy, computational and communication complexity and efficiency

6. Thank you for your attention !
Contact :
Thank you for your attention !
Christina-Angeliki Toli