PRIVACY MANAGEMENT

• Main Authors: GUILAUME, Sam, SOUBEYRAT, Cyrille
• Format: Patent
• Language: English; French; German
• Published: 01.05.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; PHYSICS; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

There is disclosed a computer-implemented method of privacy management. A core dataset comprising user personal identifiable data can be kept separated from some other data silos associated with said core dataset by a software program. Said program can be a smart contract implemented on a crypto-ledger. Personal identifiable data can comprise true identity information and/or Know Your Customer data compliant with banking regulation. Data silos can comprise anonymous and/or anonymized and/or pseudonymized and/or de-identified data. Data silos can be actively partitioned into a plurality of datasets associated with discrete levels of privacy breach risks. The partitioning between datasets can use one or more mechanisms comprising in particular multi-party computation, homomorphic encryption, k-anonymity, or differential privacy. Asymmetric encryption can be used, along format-preserving encryption. Software and system aspects are described.