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Malicious URLs detection using data streaming algorithms · Peerford

Article · Journal · 2021

Malicious URLs detection using data streaming algorithms

Kayode S. Adewole, M. O. Raheem, Muyideen AbdulRaheem, Idowu Dauda Oladipo, Abdullateef Oluwagbemiga Balogun, Omotola Fatimah Baker

Jurnal Teknologi dan Sistem Komputer

Open access · Diamond

Read it 10.14710/jtsiskom.2021.13965

Citations: 2from other works
Field-weighted impact: 0.281.00 is the world average for its field and year
Among its field: 66th percentileby citations, against works of its field and year
Authors: 6from 1 institution

Authors

6 authors

Kayode S. AdewoleFirst author
- University of Ilorin (NG)
as printed: Kayode Sakariyah Adewole
M. O. Raheem
- University of Ilorin (NG)
as printed: Muiz Olalekan Raheem
Muyideen AbdulRaheem
- University of Ilorin (NG)
as printed: Muyideen Abdulraheem
Idowu Dauda Oladipo
- University of Ilorin (NG)
Abdullateef Oluwagbemiga Balogun
- University of Ilorin

(NG)

Omotola Fatimah BakerSenior author

University of Ilorin (NG)

Country

Nigeria

Fields

A work can sit in several, each with a score

Data Stream Mining TechniquesTopic
Spam and Phishing DetectionTopic
Network Security and Intrusion DetectionTopic