The rise in the use of advanced analytics, machine learning (ML) and Artificial Intelligence (AI) and the Internet of Things (IoT) today have driven the technology of simulation into the concept of the digital twin. Digital twins are generally defined as a virtual digital model of a physical system that is used to make better decisions about the real world physical system. Digital twins are usually intertwined with sensors and include a two-way interaction between the physical and digital twin.
The growth of “smart” IoT devices – devices with an increasing amount of processing or computational capability – results in more use cases where devices perform independent functions or complex system behaviors. These devices must both provide cryptographic trust to participate in network data exchange and be assured they can trust the network and nodes to which they communicate. This is the foundation of “Zero Trust Architecture” or ZTA.
Managing IoT devices and user identities as well as the relationships among various devices and their digital twins face significant challenges. First, a lack of Identity Credential and Access Management (ICAM) standards for IoT creates proprietary standards and a lack of interoperability. Second, the operational lifecycle of IoT devices complicates integration of traditional ICAM. Lastly, ICAM technology must adapt to the proliferation of connected devices. This evolution requires a digital trust framework and the decentralized architecture of Self-Sovereign Identity (SSI).
Also, digital twins, especially in industries such as healthcare, incorporate volumes of data deemed sensitive and governed under regulatory requirements such as HIPAA. The application of ML and AI promises to improve the characteristics and analytical performance of digital twins, but in emulating health conditions can risk compromise of personal identity and associated sensitive conditions, even if derived from analytical frameworks. Both the digital twin and the physical person it represents greatly benefit from a privacy-preserving and data protection capability afforded by SSI and decentralized identity.
The Sovrin Foundation is a nonprofit organization established to administer the world’s largest decentralized global public network enabling SSI on the Internet. The Foundation established the SSI for IoT Working Group to examine the application of SSI to IoT. This presentation will describe:
1) The challenges of digital identity and ICAM in IoT and digital twins
2) How to apply SSI and decentralized identity with IoT and digital twins
3) How the Sovrin Foundation is advancing SSI in IoT for industry use
Chief Trust Officer at Lumedic
As the Chief Trust Officer for the Lumedic Exchange, the first internationally available patient-centric data exchange platform, Jim leads the development and harmonization of W3C verifiable credential data standards across healthcare and identity use cases. Additionally, as part of Tegria, a services and solutions company launched by Providence, one of the nation’s largest health systems, Jim joins Providence leaders directly contributing to HL7 project teams. Jim works closely to identify opportunities to leverage new developments in data standards and contribute technical advancements back to HL7, ISO, and IEEE standards development.
• Vice Chair, INCITS (ANSI) Blockchain Working Group, US member of ISO TC 307
• Member, IEEE P2145 Blockchain Governance WG, P2933 Medical Device WG, P2673 Medical Information Working Group
• Vice Chair, SSI in IOT WG, Sovrin Foundation
• Steering Committee Member, Trust over IP Foundation
• Healthcare Sector Coordinating Committee, Health Tech Risk WG
• Member, National Digital Twin Programme (UK)
End-User, Government, Enterprise, Small / Medium Enterprise, OEM
Standards, Interoperability, digital twin, security, identity, infrastructure, healthcare,
CxO, VP / Director, Middle Management, Business Line Management
Healthcare, Government / Public Sector
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