As interest in blockchain reaches a fever pitch, organizations are aggressively building their first projects and seriously thinking about how they will begin testing and using blockchain more broadly. While the blockchain concept first appeared in Bitcoin and other cryptocurrencies, as an immutable record of transactions, maintained collaboratively by all parties that hold and trade the currency, I personally believe it has profound, disruptive implications for a range of settings, from finance, banking, IoT, healthcare, supply chains, manufacturing, technology, government, and the legal system, and more.
On the heels of today’s announcement that IBM is offering a new framework and cloud services to help organizations understand how to create secure cloud environments for blockchain, I want to share some insights from a cryptographer’s perspective about the true innovation behind the blockchain.
If we break it down to its most simple elements, a blockchain is:
A replicated and distributed record of all exchanges and transactions
Strong cryptography to ensure the record is immutable and to ensure privacy of transactions
A shared consensus mechanism that decides on transactions to execute and distribute the power to verify and validate operations over all parties
Business logic for transactions, ranging from recording who owns which asset to executing self-enforcing, complex smart contracts
Consider a service suitable for being executed on a blockchain: an online auction platform; an exchange for a financial asset among banks; a digital land registry. The service maintains a central repository of the assets and executes transactions issued by the participants. All participants accept the market rules and asset holdings decided by the service, such as the price of a deal or the owner of a property.
A platform like this must represent the interests of all participants and customers equally. For establishing a deal between two parties, who both wish to maximize their own benefit, the service should be neutral. Both parties must trust the exchange to correctly implement the rules. Otherwise, if one party would perceive the exchange as unfair, that party would not be interested in using the exchange.
Considering the four features of blockchain, the most important one is the distributed power of establishing consensus, such that every participant considers the resulting outcome to be fair and neutral.
Traditional centralized IT systems cannot provide such fairness because they always contain a single point of failure, in the sense that the organization that controls a database holds the ultimate power over its content.
In practice, dedicated organizations have been formed to operate such exchanges among the participants, such as stock exchanges, national real-time gross settlement systems, or land registries operated by a government on behalf of its citizens. On the Internet, for example, the authority over domain names, a critical element for its operation, has been delegated to a global nonprofit organization.
Therefore the crucial feature of blockchain protocols lies in what is known as distributing trust: directly, to the participants and immediately, over the Internet. Suitable mechanisms are known as consensus protocols and have already been included in textbooks, such as the one I co-authored. Although variants of them that tolerate faults and network uncertainty have been in operation for years, they need to be extended for blockchains, so that they tolerate selfish behavior and attacks by some participants. The novel element is distinct ownership and shared control over the participants. Multiple consensus protocols have been proposed as contributions to the Linux Foundation’s HyperledgerProject, which develops a distributed ledger platform, including one based on Byzantine-fault tolerance from IBM.
Interested in learning more? Join me and my peers on 25 July for a workshop in Chicago.
In collaboration with The Michael J. Fox Foundation for Parkinson’s Research, our team of researchers at IBM is aiming to develop improved disease progression models that can help clinicians understand how the disease progresses in relation to the emergence of symptoms, even when those patients are taking symptom-modifying medications.
In a paper recently published in Nature Scientific Reports, IBM Research and scientists from several other medical institutions developed a new way to estimate the severity of a person’s Parkinson’s disease (PD) symptoms by remotely measuring and analyzing physical activity as motor impairment increased. Using data captured by wrist-worn accelerometers, we created statistical representations of […]
The need for a future workforce with a robust set of quantum computing skills drives our support for Q2Work, the National Science Foundation-funded initiative led by the University of Illinois and the University of Chicago to provide quantum education, programs, tools, and curricula to K-12 students.