Federated Learning for the Detection of Malware in IoT Devices

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Critical Infrastructures
Published
2024-10-26
DOI
https://doi.org/10.1504/ijcis.2026.10067414
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Federated Learning for the Detection of Malware in IoT Devices

K. Hazeena, S.Silvia Priscila, G Gnaneswari, Lalitha Guna
International Journal of Critical Infrastructures
Advanced Malware Detection Techniques
article

Federated Learning for the Detection of Malware in IoT Devices

K. Hazeena, S.Silvia Priscila, G Gnaneswari, Lalitha Guna
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Critical InfrastructuresVol. 22(3)
Openalex Percentile: Top 79%
Advanced Malware Detection Techniques
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Federated Learning for the Detection of Malware in IoT Devices — K. Hazeena, S.Silvia Priscila, et al. · International Journal of Critical Infrastructures (2024) | TGRS Research Map | TGRS