A maximum entropy classification scheme for phishing detection using parsimonious features
Main Authors: | Asani, Emmanuel O.; Landmark University, Omotosho, Adebayo; Hasso Plattner Institute, Danquah, Paul A.; Council for Scientific and Industrial Research-Institute for Scientific and Technological Information (CSIR-INSTI), Ayoola, Joyce A.; Landmark University, Ayegba, Peace O.; Landmark University, Longe, Olumide B.; Academic City University College |
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Format: | Article info application/pdf eJournal |
Bahasa: | eng |
Terbitan: |
Universitas Ahmad Dahlan
, 2021
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Subjects: | |
Online Access: |
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15981 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15981/10822 |
Internet
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15981http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15981/10822
Lokasi
Koleksi | Journal of Education and Learning |
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Gedung | Perpustakaan Universitas Ahmad Dahlan |
Institusi | Universitas Ahmad Dahlan |
Kota | KOTA YOGYAKARTA |
Provinsi | DAERAH ISTIMEWA YOGYAKARTA |
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