A Novel Federated Edge Learning Approach for Detecting Cyberattacks in IoT Infrastructures-Reference-Cited by-同舟云学术

A Novel Federated Edge Learning Approach for Detecting Cyberattacks in IoT Infrastructures

Published:2023 Issue: Volume:11 Page:112189-112198
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abbas Sidra¹^ORCID,Hejaili Abdullah Al²,Sampedro Gabriel Avelino³^ORCID,Abisado Mideth⁴,Almadhor Ahmad S.⁵^ORCID,Shahzad Tariq⁶^ORCID,Ouahada Khmaies⁶^ORCID

Affiliation:

1. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

2. Computer Science Department, Faculty of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia

3. Faculty of Information and Communication Studies, University of the Philippines Open University, Los Baños, Philippines

4. College of Computing and Information Technologies, National University, Manila, Philippines

5. Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia

6. Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg, South Africa

Funder

University of Johannesburg.

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/ielx7/6287639/10005208/10261980.pdf?arnumber=10261980

Reference22 articles.

1. Intrusion Detection based on Privacy-preserving Federated Learning for the Industrial IoT

2. On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives

3. Smart Detection: An Online Approach for DoS/DDoS Attack Detection Using Machine Learning

4. Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 dataset;kostas;arXiv 2307 08679,2023

5. CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

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