Efficient digital forensic in IoT environment: a hybrid framework using deep-federated learning

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.

Authors

Publication Details

Journal
International Journal of Electronic Security and Digital Forensics
Published
2025-09-23
DOI
https://doi.org/10.1504/ijesdf.2027.10073649
Primary Topic
Digital Media Forensic Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Efficient digital forensic in IoT environment: a hybrid framework using deep-federated learning

Asma Abdulghani Al- Shargabi, Waad Almadud
International Journal of Electronic Security and Digital Forensics
Digital Media Forensic Detection
article

Efficient digital forensic in IoT environment: a hybrid framework using deep-federated learning

Asma Abdulghani Al- Shargabi, Waad Almadud
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 Electronic Security and Digital ForensicsVol. 1(1)
Openalex Percentile: Top 74%
Digital Media Forensic Detection
DOISourceOpenAlex
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Efficient digital forensic in IoT environment: a hybrid framework using deep-federated learning — Asma Abdulghani Al- Shargabi, Waad Almadud · International Journal of Electronic Security and Digital Forensics (2025) | TGRS Research Map | TGRS