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ITU-T work programme

[2017-2020] : [SG17] : [Q4/17]

[Declared patent(s)]  - [Publication]

Work item: X.Sup-cs-ml (ex TR.cs-ML)
Subject/title: Supplement to X.1231: Countering spam based on machine learning
Status: [Carried to next study period]
Approval process: Agreement
Type of work item: Supplement
Version: New
Equivalent number: -
Timing: -
Liaison: ITU-T SG13, ITU-T SG2, ITU-T FG-AI4EE
Supporting members: -
Summary: The purpose of this work item is to define a technical framework for countering spam based on machine learning. It may help some relevant persons and companies in spam management, reduce the benefit loss of users and providers, improve user experience and promote the healthy development of telecommunication business. This technical report provides some general scenarios, characteristics of spam, and define general technical framework, work flows, to help some companies and users to counter spam.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Elizabeth Essel, Editor
Wei Liu, Editor
Weidong Wang, Editor
Lei Xu, Editor
Yanbin Zhang, Editor
ITU-T A.5 justification(s):
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First registration in the WP: 2019-09-12 16:21:13
Last update: 2021-09-09 12:34:09