Author: thomas

Comments Off on Survivability of Blockchain Systems

Survivability of Blockchain Systems

Part 1: The Goals of the Internet Architecture Currently there is considerable interest (real and hype) in blockchain systems as a promising technology for the future infrastructure of a global value-exchange network – or whatsome refer to as the “Internet of value”. The original blockchain idea of Haber and Stornetta is now a fundamental construct Read More

Comments Off on Open Algorithms (OPAL): Key Concepts

Open Algorithms (OPAL): Key Concepts

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

Comments Off on Public keys on blockchains: confusing existence with trust

Public keys on blockchains: confusing existence with trust

Today Identity and Access Management (IAM) represents a core component of the Internet infrastructure,  without which users would not be able to obtain online services in a timely and scalable manner. Enterprise IAM infrastructures are well integrated into other enterprise infrastructure services — such as directory services — which provide control over employees and assets. Read More

Comments Off on Blockchains: Evidence of Mediated Computation

Blockchains: Evidence of Mediated Computation

In writing of the report of the Kantara BSC group (Blockchain and Smart Contracts) – a group that has been meeting bi-weekly for the past 7 months – we have come across numerous use-cases proposed by members who are looking closely at blockchain technology (or more generally from distributed ledger technology). To enable classification of these Read More

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Trust:: Data

So our new books are out and available now on Amazon.  The first one is on Fin Tech, and the second on data, privacy and identity. Frontiers of Financial Technology Trust::Data: A New Framework for Identity and Data sharing                      

Comments Off on Core Identity Issuers (Part II)

Core Identity Issuers (Part II)

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

Comments Off on Core Identities and Transaction Identifiers for Blockchains

Core Identities and Transaction Identifiers for Blockchains

Etymology: Middle French identité, from Late Latin identitat-, identitas, probably from Latin identidem repeatedly, contraction of idem et idem, literally, same and same (Merriam-Webster Dictionary). Identity is about trusted data — trusted personal data. Human beings live within social constructs and communities. People who know me can vouch for me. Organizations that know me can issue assertions Read More

Comments Off on Query Smart Contracts: Bringing the Algorithm to the Data

Query Smart Contracts: Bringing the Algorithm to the Data

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

Comments Off on What and why: MIT Enigma

What and why: MIT Enigma

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

Comments Off on New Principles for Privacy-Preserving Queries for Distributed Data

New Principles for Privacy-Preserving Queries for Distributed Data

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

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