Oasis Labs, the commercial venture closely related to the Oasis Protocol blockchain, announced a new data privacy project built in collaboration with BMW Group.

Announced on Wednesday, the collaboration between the two companies aims to build a new method of accessing personal information that would place clear restrictions on what information can be obtained and how.

Oasis refers to this constrained arroyo equally "differential privacy." It'due south an attempt to provide guarantees that aggregated data cannot exist manipulated to obtain information on a specific individual. For example, when a dataset includes the boilerplate of some value and the number of participants that make upwardly that average, a single new entry can be hands de-anonymized past tracking the change to the average reading.

Oasis' solution rewrites individual queries to obfuscate the underlying data. According to the house, any database technology that supports a fix of basic mathematical functions — accented value, random number generation, natural logarithm and the sign function — tin exist used with the differential privacy solution.

The collaboration with BMW volition implement the differential privacy solution in an enterprise setting. While the collaboration is in its early stages, the goal is to test applications of differential privacy in BMW Group'southward internal management systems. This would allow both internal teams and external partners access data while guaranteeing privacy. This particular test does not involve the Oasis Protocol blockchain and is instead conducted on a permissioned ledger.

Oasis Protocol is a newly launched project that places heavy accent on user information privacy. Cryptography and blockchain have long been considered bonny for their ability to regulate data sharing. Straight ownership of personal data coupled with articulate rules for its usage can help strike the correct balance between user privacy and the business organization practices of modern corporations.