Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach-Reference-Cited by-同舟云学术

Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach

Published:2021-11 Issue: Volume:132 Page:103509
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Huong Truong Thu^ORCID,Bac Ta Phuong^ORCID,Long Dao Minh,Luong Tran Duc,Dan Nguyen Minh^ORCID,Quang Le Anh,Cong Le Thanh,Thang Bui Doan^ORCID,Tran Kim Phuc

Funder

Anhui University of Science and Technology

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference48 articles.

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3. Using an autoencoder in the design of an anomaly detector for smart manufacturing;Alfeo;Pattern Recognit. Lett.,2020

4. Available, Nyc taxi and limousine commission, available, in: https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page, Last accessed on May, 2021.

5. Cyber resilience protection for industrial internet of things: a software-defined networking approach;Babiceanu;Comput. Ind.,2019

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