The following are the key concepts and principles underlying the open algorithms paradigm: Moving the algorithm to the data: Instead of pulling raw data into a centralized location for processing, it is the algorithms that should be sent to the data repositories and be processed there. Raw data must never leave its repository: Raw data Read More
Continuing from the previous post (Part I of the Core Identity series), the goal of a Core Identity Issuer (CoreID Issuer) is to collate sufficient data – aggregate data and non-PII data — from members of a given Circle of Trust in order to create a Core Identity and Core Identifier for a given user (see Read More
One paradigm shift being championed by the MIT OPAL/Enigma community is that of using (sharing) algorithms that have been analyzed by experts and have been vetted to be “safe” from the perspective of privacy-preservation. The term “Open Algorithm” (OPAL) here implies that the vetted queries (“algorithms”) are made open by publishing them, allowing other experts to review Read More
I often get asked to provide a brief explanation about MIT Enigma — notably what it is, and why it is important particularly in the current age of P2P networking and blockchain technology. So here’s a brief summary. The MIT Enigma system is part of a broader initiative at MIT Connections Science called the Open Algorithms for Read More
Here are the three (3) principles for privacy-preserving computation based on the Enigma P2P distributed multi-party computation model: (a) Bring the Query to the Data: The current model is for the querier to fetch copies of all the data-sets from the distributed nodes, then import the data-sets into the big data processing infra and then Read More
