Detecting Out-of-Distribution Samples in Complex IoT Traffic Based on Distance Loss

Out-of-distribution (OOD) detection is critical for securing Internet of Things (IoT) systems, particularly in applications such as intrusion detection and device identification. However, conventional classification-based approaches struggle in IoT environments due to challenges like large class num...

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Bibliographic Details
Main Authors: Chengye Zhao, Jinxin Zuo, Mingrui Fan, Yun Cai, Yueming Lu, Chonghua Wang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/13/7522
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