IOT threats detection using few shots learning

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IOT threats detection using few shots learning

Existing IoT threat detection methods lack robustness due to the diverse array of potential attack vectors. Currently, most methods are trained and tested using simulated datasets and do not perform well with unseen samples in real-world applications. In this project, we propose a novel few short...

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Bibliographic Details
Main Author:	Chua, Cheng Han
Format:	Final Year Project / Dissertation / Thesis
Published:	2024
Subjects:	L Education (General) T Technology (General) TD Environmental technology. Sanitary engineering
Online Access:	http://eprints.utar.edu.my/6634/ http://eprints.utar.edu.my/6634/1/fyp_CS_2024_CCH.pdf

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