SecFedIDM-V1: A Secure Federated Intrusion Detection Model With Blockchain and Deep Bidirectional Long Short-Term Memory Network-Reference-Cited by-同舟云学术

SecFedIDM-V1: A Secure Federated Intrusion Detection Model With Blockchain and Deep Bidirectional Long Short-Term Memory Network

Published:2023 Issue: Volume:11 Page:116011-116025
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mbaya Emmanuel Baldwin¹^ORCID,Adetiba Emmanuel¹^ORCID,Badejo Joke A.¹,Wejin John Simon¹,Oshin Oluwadamilola¹^ORCID,Isife Olisaemeka¹^ORCID,Thakur Surendra Colin²^ORCID,Moyo Sibusiso³^ORCID,Adebiyi Ezekiel F.⁴

Affiliation:

1. Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria

2. Department of Information Technology and KZN e-Skills Co-Laboratory, Durban University of Technology, Durban, South Africa

3. Department of Mathematical Sciences, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa

4. Covenant Applied Informatics and Communication African Center of Excellence, Covenant University, Ota, Ogun State, Nigeria

Funder

Agence Fran?aise de D?veloppement (AFD) for the SEC-FEDGEN Research Project

World Bank for the ACE Impact Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10287938.pdf?arnumber=10287938

Reference58 articles.

1. Performance comparison of intrusion detection systems and application of machine learning to Snort system

2. Intrusion Detection System for the Internet of Things Based on Blockchain and Multi-Agent Systems

3. Research of intrusion detection system based on neural networks

4. A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks

5. A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

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