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Adopting automated whitelist approach for detecting phishing attacks · Peerford

Article · Journal · 2021

Adopting automated whitelist approach for detecting phishing attacks

Nureni Ayofe AZEEZ, Sanjay Misra, Ihotu Agbo Margaret, Luis Fernandez-Sanz, Shafi’I M Abdulhamid

Computers & Security

Closed access
World top 10%
International · 3 countries

Go to the publisher 10.1016/j.cose.2021.102328

Citations: 78from other works
Field-weighted impact: 12.871.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 5from 5 institutions

Authors

5 authors across 5 institutions in 3 countries

Nureni Ayofe AZEEZFirst author
- University of Lagos (NG)
as printed: Nureni Ayofe Azeez
Sanjay MisraCorresponding
- Covenant University (NG)
Ihotu Agbo Margaret
- University of Lagos (NG)
Luis Fernandez-Sanz
Shafi’I M AbdulhamidSenior author
- Federal University of Technology Minna (NG)
as printed: Shafi'i Muhammad Abdulhamid

Development goals

16Peace, justice and strong institutions

Countries on it

Spain
Nigeria
Turkey

Also on it

Atilim Universityeducation · TR
Universidad de Alcaláeducation · ES

Fields

A work can sit in several, each with a score

Spam and Phishing DetectionTopic
Text and Document Classification TechnologiesTopic
Advanced Malware Detection TechniquesTopic