Cargando…
Deep neural network and model-based clustering technique for forensic electronic mail author attribution
Electronic mail is the primary source of different cyber scams. Identifying the author of electronic mail is essential. It forms significant documentary evidence in the field of digital forensics. This paper presents a model for email author identification (or) attribution by utilizing deep neural n...
Autores principales: | Apoorva, K. A., Sangeetha, S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890392/ https://www.ncbi.nlm.nih.gov/pubmed/33619463 http://dx.doi.org/10.1007/s42452-020-04127-6 |
Ejemplares similares
-
Electronic mail
Publicado: (1987) -
A directory of electronic mail addressing and networks
por: Frey, Donnalyn, et al.
Publicado: (1989) -
The CERN electronic mail user guide: mail guide version 4.0
por: Dimou, Maria
Publicado: (1994) -
Electronic Mail Status, September 1986
por: Heagerty, D
Publicado: (1986) -
A user guide to electronic mail services at CERN: mail guide version 2
por: Heagerty, D
Publicado: (1988)