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Work item:
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Y.IoT-IADS
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Subject/title:
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Intelligent anomaly detection system for Internet of things
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Status:
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Under study [Issued from previous study period]
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Approval process:
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TAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2026-Q4 (Medium priority)
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Liaison:
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ITU-T SG11, SG17
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Supporting members:
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Universidad Tecnológica Nacional (Argentina), China Unicom
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Summary:
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This draft Recommendation introduces an Intelligent Anomaly Detection System for IoT (IADS) that leverages advanced technologies to detect and mitigate abnormal behaviors in IoT-based environments. The system employs a hybrid approach, combining rule-based security measures for known threats with machine learning techniques capable of identifying and adapting to emerging anomalies. This dual strategy enhances the overall security of IoT applications by bringing protection closer to the devices themselves. The IADS framework provides comprehensive guidelines and best practices tailored for policymakers, developers, and researchers involved in the deployment and management of IoT systems. It addresses key considerations essential for building effective and resilient anomaly detection solutions. The goal of this draft Recommendation is to establish a standardized framework that supports the implementation and operation of intelligent anomaly detection systems within IoT ecosystems. By offering clear, detailed guidance, it aims to strengthen the security, reliability, and performance of IoT deployments, ultimately encouraging broader trust and adoption of IoT technologies across various sectors.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2024-07-17 17:11:20
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Last update:
2026-01-28 10:44:27
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