ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification-Reference-Cited by-同舟云学术

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ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification

Published:2024-05-06 Issue: Volume:abs/1705.06805 Page:1-9
ISSN:
Container-title:NOMS 2024-2024 IEEE Network Operations and Management Symposium
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Author:

Wu Binghui¹,Gysel Philipp¹,Divakaran Dinil Mon²,Gurusamy Mohan¹

Affiliation:

1. National University of Singapore (NUS)

2. Acronis Research

Funder

National University of Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574855/10574897/10575079.pdf?arnumber=10575079

Reference40 articles.

1. Measurement and Analysis of Hajime, a Peer-to-peer IoT Botnet

2. Behavioral Fingerprinting of IoT Devices

3. A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic;Apthorpe;CoRR,2017

4. IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT

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