IEEE 2830-2021
$33.58
IEEE Standard for Technical Framework and Requirements of Trusted Execution Environment based Shared Machine Learning
| Published By | Publication Date | Number of Pages |
| IEEE | 2021 | 23 |
New IEEE Standard – Active. The framework and architecture for machine learning in which a model is trained using encrypted data that has been aggregated from multiple sources and is processed by a trusted third party are defined in this standard. Functional components, workflows, security requirements, technical requirements, and protocols are specified in this standard.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 1 | IEEE Std 2830™-2021 Front cover |
| 2 | Title page |
| 4 | Important Notices and Disclaimers Concerning IEEE Standards Documents |
| 8 | Participants |
| 10 | Introduction |
| 11 | Contents |
| 12 | 1. Overview 1.1 Scope 1.2 Purpose 1.3 Word usage |
| 13 | 2. Normative references 3. Definitions, acronyms, and abbreviations 3.1 Definitions 3.2 Acronyms and abbreviations |
| 14 | 4. General overview 5. Technical framework 5.1 Architecture framework |
| 15 | 5.2 Functional components of a TEE-based SML system 5.3 Processing procedure |
| 17 | 6. Technical requirements for shared machine learning system 6.1 Basic technical requirements |
| 18 | 6.2 Scalability requirements 6.3 Reliability requirements 6.4 Compatibility requirements 6.5 Performance requirements |
| 19 | 6.6 Usability requirements 7. Security requirements for sharing machine learning system 7.1 Authentication requirements 7.2 Access control requirements 7.3 Security Auditing requirements |
| 20 | 7.4 Data security requirements |
| 21 | Annex A (informative) TEE-based shared machine learning application scenarios A.1 Intelligent credit and risk control A.2 Intelligent Marketing A.3 Identifying telecom frauds across networks |
| 23 | Back cover |
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