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The rapid convergence of various evolving ICT technologies, namely Artificial Intelligence, Machine Learning and Distributed Ledgers with different medical applications has contributed to the creation of different innovations in the field. However, rapid technology disruption in various cases may generate privacy breaches and security vulnerabilities, which is a critical factor especially when dealing with sensitive data. This paper leverages the paradigm of Self-Sovereign Identity (SSI), a decentralized approach for identity management, and proposes a prototype integration to smart medical sensors for acoustic analysis of voice in Parkinson Disease (PD) with the Hyperledger Aries. The work is also evaluated in terms of performance and scalability regarding the issuance and verification of verifiable credentials for a medical data scenario.

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Leveraging Self-sovereign Identity for e-Health Applications

  • 会议论文

  • 发表日期：

    2025年

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  • Aristeidis Farao,
  • Georgios Paparis,
  • Michail-Alexandros Kourtis,
  • Margarita Anastassova,
  • Christian Bolzmacher,
  • Stéphane Bouilland,
  • Evangelos Markakis,
  • Ioannis Koufos,
  • Ilias Politis,
  • Christos Xenakis,
  • George Xilouris

摘要

The rapid convergence of various evolving ICT technologies, namely Artificial Intelligence, Machine Learning and Distributed Ledgers with different medical applications has contributed to the creation of different innovations in the field. However, rapid technology disruption in various cases may generate privacy breaches and security vulnerabilities, which is a critical factor especially when dealing with sensitive data. This paper leverages the paradigm of Self-Sovereign Identity (SSI), a decentralized approach for identity management, and proposes a prototype integration to smart medical sensors for acoustic analysis of voice in Parkinson Disease (PD) with the Hyperledger Aries. The work is also evaluated in terms of performance and scalability regarding the issuance and verification of verifiable credentials for a medical data scenario.