Security and Privacy for Personal Data
Event details
| Date | 09.07.2019 |
| Hour | 14:00 › 16:00 |
| Speaker | Sylvain Chatel |
| Location | |
| Category | Conferences - Seminars |
EDIC candidacy exam
Exam president: Prof. Carmela Troncoso
Thesis advisor: Prof. Jean-Pierre Hubaux
Co-examiner: Prof. Bryan Ford
Abstract
In our hyper-connected world, large amount of information is collected and processed. By harvesting data and conducting smart analysis, service providers can provide better utility to users and tailor their offers. However, this could lead to massive privacy leaks. For instance, several activity-tracking services - collecting information through wearable devices - are raising security and privacy concerns. Henceforth, it is of paramount importance to keep control over personal data shared and reduce the amount of data distributed without damaging the utility. Several works have been conducted in this direction. A particularly interesting topic is homomorphic encryption which allows to conduct some operations on encrypted data. This enables analysis on the data without revealing any information to the service provider. For instance CKKS [Cheon16'] introduced a new method for homomorphic encryption that allows somewhat homomorphic encryption and complex operations such as polynomial evaluations. Another interesting topic is zero-knowledge proofs that permits trust without revealing secrets. In [Giacomelli16'], a new proof of knowledge for boolean circuits is introduced providing new horizons for signature schemes and authenticity verifications. Finally, with those breakthroughs in cryptography and privacy preserving techniques, numerous works have been achieved to apply those techniques to concrete problems. A good example is [Pham16'], providing a secure and private system for location-based fitness activity tracking. Hence, we present in this proposal how all those blocks could be combined to provide both security & privacy on one hand and utility on the other hand.
Background papers
HEAAN - Homomorphic Encryption for Arithmetic of Approximate Numbers, by J. H. Cheon, A. Kim, M. Kim, and Y. Song. A homomorphic encryption scheme providing polynomial evaluations.
ZKBoo - Faster Zero-Knowledge for Boolean Circuits, by I. Giacomelli, J. Madsen, and C. Orlandi. A zero-knowledge protocol for boolean and arithmetic circuits.
SecureRun - Cheat-Proof and Private Summaries for Location-Based Activities, by A. Pham, K. Huguenin, I. Bilogrevic, I. Dacosta, and J. Hubaux . IEEE Trans. Mobile Comput., 2016. A secure privacy-preserving system for reporting location-based activity summaries.
Exam president: Prof. Carmela Troncoso
Thesis advisor: Prof. Jean-Pierre Hubaux
Co-examiner: Prof. Bryan Ford
Abstract
In our hyper-connected world, large amount of information is collected and processed. By harvesting data and conducting smart analysis, service providers can provide better utility to users and tailor their offers. However, this could lead to massive privacy leaks. For instance, several activity-tracking services - collecting information through wearable devices - are raising security and privacy concerns. Henceforth, it is of paramount importance to keep control over personal data shared and reduce the amount of data distributed without damaging the utility. Several works have been conducted in this direction. A particularly interesting topic is homomorphic encryption which allows to conduct some operations on encrypted data. This enables analysis on the data without revealing any information to the service provider. For instance CKKS [Cheon16'] introduced a new method for homomorphic encryption that allows somewhat homomorphic encryption and complex operations such as polynomial evaluations. Another interesting topic is zero-knowledge proofs that permits trust without revealing secrets. In [Giacomelli16'], a new proof of knowledge for boolean circuits is introduced providing new horizons for signature schemes and authenticity verifications. Finally, with those breakthroughs in cryptography and privacy preserving techniques, numerous works have been achieved to apply those techniques to concrete problems. A good example is [Pham16'], providing a secure and private system for location-based fitness activity tracking. Hence, we present in this proposal how all those blocks could be combined to provide both security & privacy on one hand and utility on the other hand.
Background papers
HEAAN - Homomorphic Encryption for Arithmetic of Approximate Numbers, by J. H. Cheon, A. Kim, M. Kim, and Y. Song. A homomorphic encryption scheme providing polynomial evaluations.
ZKBoo - Faster Zero-Knowledge for Boolean Circuits, by I. Giacomelli, J. Madsen, and C. Orlandi. A zero-knowledge protocol for boolean and arithmetic circuits.
SecureRun - Cheat-Proof and Private Summaries for Location-Based Activities, by A. Pham, K. Huguenin, I. Bilogrevic, I. Dacosta, and J. Hubaux . IEEE Trans. Mobile Comput., 2016. A secure privacy-preserving system for reporting location-based activity summaries.
Practical information
- General public
- Free