Improved temporal IoT device identification using robust statistical features

Improved temporal IoT device identification using robust statistical features

The Internet of Things (IoT) is becoming more prevalent in our daily lives. A recent industry report projected the global IoT market to be worth more than USD 4 trillion by 2032. To cope with the ever-increasing IoT devices in use, identifying and securing IoT devices has become highly crucial for n...

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Bibliographic Details
Main Authors: Nik Aqil, Faiz Zaki, Firdaus Afifi, Hazim Hanif, Miss Laiha Mat Kiah, Nor Badrul Anuar
Format: Article
Language:English
Published: PeerJ Inc. 2024-07-01
Series:PeerJ Computer Science
Subjects:
Internet of Things
Device identification
Accuracy degradation
Machine learning
Network traffic classification
Traffic analysis
Online Access:https://peerj.com/articles/cs-2145.pdf

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https://peerj.com/articles/cs-2145.pdf

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