An ensemble deep learning model for cyber threat hunting in industrial internet of things
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Elsevier BV
Subject
Computer Networks and Communications,Hardware and Architecture
Reference56 articles.
1. Block hunter: federated learning for cyber threat hunting in blockchain-based iiot networks;Yazdinejad;IEEE Trans. Ind. Inf.,2022
2. Deep-ifs: intrusion detection approach for industrial internet of things traffic in fog environment;Abdel-Basset;IEEE Trans. Ind. Inf.,2021
3. An ensemble deep learning-based cyber-attack detection in industrial control system;Al-Abassi;IEEE Access,2020
4. A high-performance framework for a network programmable packet processor using p4 and fpga;Yazdinejad;J. Netw. Comput. Appl.,2020
5. Multilayer data-driven cyber-attack detection system for industrial control systems based on network, system, and process data;Zhang;IEEE Trans. Ind. Inf.,2019
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