Anomaly detection in digital forensics data using deep learning algorithm

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
2024-12-20
DOI
https://doi.org/10.1504/ijesdf.2026.10068541
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
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article

Anomaly detection in digital forensics data using deep learning algorithm

Aditi Seetha, R. Pavithra N.A., Leo John Baptist Andrews, BO Ai-hua
International Journal of Electronic Security and Digital Forensics
Digital and Cyber Forensics
article

Anomaly detection in digital forensics data using deep learning algorithm

Aditi Seetha, R. Pavithra N.A., Leo John Baptist Andrews, BO Ai-hua
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 63%
Digital and Cyber Forensics
DOIOpen Access PDFOpenAlex
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Anomaly detection in digital forensics data using deep learning algorithm — Aditi Seetha, R. Pavithra N.A., et al. · International Journal of Electronic Security and Digital Forensics (2024) | TGRS Research Map | TGRS