IOTA, Intel and Dell present the Data Confidence Fabric and its use cases

  • The Alvarium project, based on IOTA Streams, will bring trustworthiness and data protection benefits to complex environments using edge cloud servers.
  • Intel and Dell use 4 principles to measure the reliability of data, which is then secured using the IOTA Tangle.

As part of the Alvarium project announced a few weeks ago by Dell Technologies in collaboration with the IOTA Foundation and Intel, the first demonstration of the Data Confidence Fabric (DCF) took place yesterday. Based on the IOTA Streams framework, this technology is designed to measure the trustworthiness of data before it is utilized in use cases, such as oracles feeding information into smart contracts.

The demonstration took place in a webinar featuring Steve Todd, Fellow at Dell Technologies, Paul O’Neal, Director of Strategic Business Development in Intel’s Confidential Computing Group, and Mathew Yarger, Head of Mobility and Automotive at the IOTA Foundation. Before the demo began, the partners discussed how artificial intelligence and machine learning will be a “defining” piece of workflow in the next 10 years.

In conjunction with data processing in an edge network, the above technologies can be leveraged by “emerging data economies” in edge cloud servers. This technology allows data to be processed in closer proximity to data sources. Thus, Project Alvarium aims to reduce data movement, reduce data transport latency, increase privacy and reliability, and support real-time insights.

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The Data Confidence Fabric (DCF) framework uses 4 principles to measure data reliability: attestation, transformation, annotation, and auditing. In a data stream, Alvarium generates annotations and metadata that are stored in IOTA Tangle. Thus, the system can track the origin and reliability of the data and give it a score, as shown in the image below shared by the IOTA Foundation. Todd explained:

Alvarium allows a confidence score to be calculated. By the time the application receives the information, it has already calculated a score along with some history where the application or an auditor or someone else can inspect the source and the journey this information has made.

Use cases for Project Alvarium with IOTA’s technology

In a whitepaper published by Intel and Dell, the companies name specific use cases for Project Alvarium. These include driving assistance, improving city traffic, the creation of “distributed marketplaces”, services based on artificial intelligence technology with improved security and especially its application in emerging economies where there may be a lack of infrastructure to ensure that data is secured by traditional means. On the above, Yarger stated:

One of the things that blockchain technology is good at is bringing fragmented ecosystems together. When we designed the architecture one of the things that was core to us is this ability to process data or value, which separates us from most things in the space and do it with as decentralized a system as possible (…).

The tweet below shows the difference between the information flow processed “traditionally” by oracles based on blockchain technology and IOTA industrial oracles. As the image shows, the data processed by IOTA oracles has the advantage of using the trustworthiness measurement system that follows the parameters measured by Alvarium. Thus, smart contracts are much more secure and reliable.

In the next phase of Project Alvarium, the associates will invite more entities and partners from their ecosystem to further test the framework they have created:

(…) especially those who are eager to move quickly in the edge services space and wish to do so with the benefits of a measured trust framework.

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