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A machine learning approach to phishing detection and defense

Detalles Bibliográficos
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
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author Akanbi, Oluwatobi Ayodeji
Amiri, Iraj Sadegh
Fazeldehkordi, Elahe
author_facet Akanbi, Oluwatobi Ayodeji
Amiri, Iraj Sadegh
Fazeldehkordi, Elahe
author_sort Akanbi, Oluwatobi Ayodeji
collection CERN
id cern-1988743
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Syngress
record_format invenio
spelling cern-19887432021-04-21T20:32:59Zhttp://cds.cern.ch/record/1988743engAkanbi, Oluwatobi AyodejiAmiri, Iraj SadeghFazeldehkordi, Elahe A machine learning approach to phishing detection and defense Computing and ComputersSyngressoai:cds.cern.ch:19887432015
spellingShingle Computing and Computers
Akanbi, Oluwatobi Ayodeji
Amiri, Iraj Sadegh
Fazeldehkordi, Elahe
A machine learning approach to phishing detection and defense
title A machine learning approach to phishing detection and defense
title_full A machine learning approach to phishing detection and defense
title_fullStr A machine learning approach to phishing detection and defense
title_full_unstemmed A machine learning approach to phishing detection and defense
title_short A machine learning approach to phishing detection and defense
title_sort machine learning approach to phishing detection and defense
topic Computing and Computers
url http://cds.cern.ch/record/1988743
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AT amiriirajsadegh amachinelearningapproachtophishingdetectionanddefense
AT fazeldehkordielahe amachinelearningapproachtophishingdetectionanddefense
AT akanbioluwatobiayodeji machinelearningapproachtophishingdetectionanddefense
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