In a further step to bolster Online privacy, Google has now made available the open-source code of “Private Join and Compute”, a “secure multi-party computation” (MPC) that will help organizations work together with confidential data sets while simultaneously raising the bar for privacy.
Google said on its official blog that the challenge to protect a user’s Online privacy is what Private Join and Compute addresses.
“Many important research, business, and social questions can be answered by combining data sets from independent parties where each party holds their own information about a set of shared identifiers (e.g. email addresses), some of which are common. But when you’re working with sensitive data, how can one party gain aggregated insights about the other party’s data without either of them learning any information about individuals in the datasets? That’s the exact challenge that Private Join and Compute helps solve.”
How does it work:
Using this cryptographic protocol, 2 parties can encrypt their identifiers & associated data, & then join them. They can then do certain types of calculations on the overlapping set of data to draw useful information from both datasets in aggregate. All inputs will remain fully encrypted throughout the process. Neither party ever reveals their raw data, but they can still answer the questions at hand using the output of the computation.
This end result is the only thing that’s decrypted and shared in the form of aggregated statistics.
Check out this video:
