Robust Intrusion Detection for Industrial IoT-Reference-Cited by-同舟云学术

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Robust Intrusion Detection for Industrial IoT

Published:2023-12-14 Issue: Volume: Page:390-397
ISSN:
Container-title:2023 19th International Conference on Mobility, Sensing and Networking (MSN)
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Author:

Ren Huaishuo¹,Gong Liangyi²,Mo Xiuliang¹,Yang Lanqi³,Yin Zuwei⁴

Affiliation:

1. Tianjin University of Technology,School of Computer Science and Engineering,Tianjin,China

2. Chinese Academy of Sciences,Computer Network Information Center,Beijing,China

3. University of Chinese Academy of Sciences,Beijing,China

4. Henan University Of Economics And Law,Zhengzhou,Henan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10566866/10566894/10567013.pdf?arnumber=10567013

Reference21 articles.

1. Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning

2. Systematically Landing Machine Learning onto Market-Scale Mobile Malware Detection

3. A survey on Deep Learning based Intrusion Detection Systems on Internet of Things

4. Deep Learning Techniques for Anomaly based Intrusion Detection System: A Survey

5. Investigation Of Secure Mobile Agents As A Tool In Intrusion Detection Systems

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