Machine learning for Internet of Things (IoT) device identification: a comparative study
The rapid deployment of millions of connected devices brings significant security challenges to the Internet of Things (IoT). IoT devices are typically resource-constrained and designed for specific tasks, from which new security challenges are introduced. As such, IoT device identification has garn...
Saved in:
| Main Authors: | Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-05-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2873.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Signal Preprocessing for Enhanced IoT Device Identification Using Support Vector Machine
by: Rene Francisco Santana-Cruz, et al.
Published: (2025-05-01) -
IoT Device Identification Techniques: A Comparative Analysis for Security Practitioners
by: Ashley Andrews, et al.
Published: (2025-01-01) -
Blockchain-Based Mobile IoT System with Configurable Sensor Modules
by: Jooho Lee, et al.
Published: (2025-04-01) -
A review of IoT network management: Current status and perspectives
by: Moussa Aboubakar, et al.
Published: (2022-07-01) -
Bridging Explainability and Security: An XAI-Enhanced Hybrid Deep Learning Framework for IoT Device Identification and Attack Detection
by: Prabhav Jain, et al.
Published: (2025-01-01)