A Study on the Efficiency of ML-Based IDS with Dimensional Reduction Methods for Industry IoT-Reference-Cited by-同舟云学术

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A Study on the Efficiency of ML-Based IDS with Dimensional Reduction Methods for Industry IoT

Published:2023-12-23 Issue: Volume: Page:481-486
ISSN:
Container-title:2023 RIVF International Conference on Computing and Communication Technologies (RIVF)
language:
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Author:

Luong Duc - Thuan¹,Nguyen Minh - Hoang²,Nguyen Hong - Duc¹,Tran Thi Thanh - Thuy¹,Nguyen Nam - Hoang³,Hoang Trong - Minh¹

Affiliation:

1. Posts and Telecomms Ins of Technology,Telecoms Faculty No1,Hanoi,Vietnam

2. University of Engineering and Technology,Computer Science Faculty,Hanoi,Vietnam

3. University of Engineering and Technology,Faculty of Electronics and Telecoms,Hanoi,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10471760/10471767/10471826.pdf?arnumber=10471826

Reference21 articles.

1. The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0

2. Study and application on the architecture and key technologies for IOT

3. A Comparative Experimental Study of Robust Sliding Mode Control Strategies for Underactuated Systems

4. Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT

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

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