|
Work item:
|
Y.IoT-IADS
|
|
Subject/title:
|
Intelligent anomaly detection system for Internet of things
|
|
Status:
|
Under study
|
|
Approval process:
|
TAP
|
|
Type of work item:
|
Recommendation
|
|
Version:
|
New
|
|
Equivalent number:
|
-
|
|
Timing:
|
2026-Q4 (Medium priority)
|
|
Liaison:
|
ITU-T SG11, SG17
|
|
Supporting members:
|
Universidad Tecnológica Nacional (Argentina), China Unicom
|
|
Summary:
|
This draft new Recommendation proposes an Intelligent Anomaly Detection System for IoT (IADS), which leverages advanced technologies to identify and mitigate anomalous behaviors in IoT-based systems. This system utilizes a hybrid approach, combining rule-based security mechanisms for known attacks with machine learning techniques to detect and adapt to new anomalies. This dual-method approach enhances the security of IoT applications and systems by bringing protection closer to the IoT devices. The IADS framework includes comprehensive guidelines and best practices designed for policymakers, developers, and researchers involved in IoT deployment and management. It addresses various aspects crucial for implementing robust anomaly detection systems.
This draft new Recommendation aims to establish a standardized framework that promotes the deployment and management of intelligent anomaly detection systems in IoT environments. By offering detailed guidelines and best practices, it seeks to bolster the security, reliability, and efficiency of IoT applications and systems, thereby fostering greater trust and adoption of IoT technologies across various sectors.
|
|
Comment:
|
-
|
|
Reference(s):
|
|
|
Historic references:
|
|
Contact(s):
|
|
| ITU-T A.5 justification(s): |
|
|
|
|
First registration in the WP:
2024-07-17 17:11:20
|
|
Last update:
2024-07-19 14:38:28
|
