A privacy-preserving federated learning with a secure collaborative for malware detection models using Internet of Things resources-Reference-Cited by-同舟云学术

A privacy-preserving federated learning with a secure collaborative for malware detection models using Internet of Things resources

Published:2024-04 Issue: Volume:25 Page:101015
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Alamer Abdulrahman^ORCID

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference33 articles.

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3. A big data analytics for DDOS attack detection using optimized ensemble framework in internet of things;Ahmad;Internet of Things,2023

4. The rise of machine learning for detection and classification of malware: Research developments, trends and challenges;Gibert;J. Netw. Comput. Appl.,2020

5. An efficient group signcryption scheme supporting batch verification for securing transmitted data in the internet of things;Alamer;J. Ambient Intell. Humaniz. Comput.,2023

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