A hybrid deep learning method for URL spoofing in websites

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
2024-12-29
DOI
https://doi.org/10.1504/ijesdf.2026.10068669
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

A hybrid deep learning method for URL spoofing in websites

N. Ashokkumar N.A., S. Krishnaveni, Sommer Janine A., BO Ai-hua
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International Journal of Electronic Security and Digital Forensics
Web Data Mining and Analysis
article

A hybrid deep learning method for URL spoofing in websites

N. Ashokkumar N.A., S. Krishnaveni, Sommer Janine A., 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 62%
Web Data Mining and Analysis
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A hybrid deep learning method for URL spoofing in websites — N. Ashokkumar N.A., S. Krishnaveni, et al. · International Journal of Electronic Security and Digital Forensics (2024) | TGRS Research Map | TGRS