Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer
0.1.0 - ci-build
Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer, published by HL7 Europe. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/hl7-eu/flute-requirements/ and changes regularly. See the Directory of published versions
Official URL: https://flute.com/Requirements/URS-10 | Version: 0.1.0 | |||
Draft as of 2023-10-25 | Computable Name: URS-10 | |||
Copyright/Legal: HL7 Europe |
ID: URS-10
Publisher: HL7 Europe
Contact Name | Contact Points |
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HL7 Europe |
All the federated learning processes should be logged to be able to conduct an audit in case of a security incident.
Defining the security and privacy requirements for users and stakeholders of the FLUTE platform, which are derived from the threat models and identified attacks within FLUTE.
ID: URS-10
Label: All the federated learning processes SHOULD be logged to be able to conduct an audit in case of a security incident.
Sources:
- HL7 Europe
Conformance Requirement SHOULD
be logged to be able to conduct an audit in case of a security incident