Cargando…
A machine learning approach to phishing detection and defense
Autores principales: | Akanbi, Oluwatobi Ayodeji, Amiri, Iraj Sadegh, Fazeldehkordi, Elahe |
---|---|
Lenguaje: | eng |
Publicado: |
Syngress
2015
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1988743 |
Ejemplares similares
-
A study of black hole attack solutions: on AODV routing protocol in MANET
por: Fazeldehkordi, Elahe, et al.
Publicado: (2016) -
Phishing dark waters: the offensive and defensive sides of malicious e-mails
por: Hadnagy, Christopher, et al.
Publicado: (2015) -
Audio content security: attack analysis on audio watermarking
por: Ghorbani, Sogand, et al.
Publicado: (2016) -
Detecting phishing webpages via homology analysis of webpage structure
por: Feng, Jian, et al.
Publicado: (2022) -
Detecting phishing websites using machine learning technique
por: Dutta, Ashit Kumar
Publicado: (2021)