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TR 33.898
Study on Security and Privacy of
Artificial Intelligence/Machine Learning (AI/ML)-based services and applications in 5G

V18.0.1 (Wzip)  2023/06  17 p.
Rapporteur:
Mr. Wong, Marcus
OPPO

full Table of Contents for  TR 33.898  Word version:  18.0.1

each clause number in 'red' refers to the equivalent title in the Partial Content
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1Scope  p. 6
2References  p. 6
3Definitions of terms, symbols and abbreviations  p. 6
3.1Terms  p. 6
3.2Symbols  p. 6
3.3Abbreviations  p. 7
4Key issues  p. 7
4.1KI #1: Privacy and authorization for 5GC assistance information exposure to AF  p. 7
4.1.1Key issue details  p. 7
4.1.2Security threats  p. 7
4.1.3Potential security requirements  p. 7
5Solutions  p. 7
5.1Solution #1: Reusing existing mechanism for authorization of 5GC assistance information exposure to AF  p. 7
5.1.1Introduction  p. 7
5.1.2Solution details  p. 8
5.1.3Evaluation  p. 8
5.2Solution #2: UE profile based 5GC assistance information exposure authorization  p. 8
5.2.1Introduction  p. 8
5.2.2Solution details  p. 8
5.2.3Evaluation  p. 9
5.3Solution #3: Reusing existing authorization mechanism for internal or external AF  p. 9
5.3.1Introduction  p. 9
5.3.2Solution details  p. 9
5.3.3Evaluation  p. 9
5.4Solution #4: Authorization for 5GC assistance information exposure to external AF  p. 9
5.4.1Introduction  p. 9
5.4.2Solution details  p. 10
5.4.3Evaluation  p. 10
5.5Solution #5: Authorization for 5GC assistance information exposure to internal AF  p. 11
5.5.1Introduction  p. 11
5.5.2Solution details  p. 11
5.5.3Evaluation  p. 12
5.6Solution #6: New solution to privacy protection for 5GC assistance information exposure to AF  p. 12
5.6.1Solution overview  p. 12
5.6.2Solution details  p. 12
5.6.3Evaluation  p. 13
6Conclusions  p. 13
6.1Key Issue #1: Privacy and authorization for 5GC assistance information exposure to AF  p. 13
AClassification and protection of AI/ML data transmitted between 5GC and AF  p. 14
A.1General  p. 14
$Change history  p. 17

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