Intelligent association classification technique for phishing website detection
Joint Authors
al-Fayyumi, Mustafa
al-Widyan, Jabir
Abu Sayf, Muhammad
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 4 (31 Jul. 2020), pp.488-496, 9 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-07-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Many critical applications need more accuracy and speed in the decision making process.
Data mining scholars developed set of artificial automated tools to enhance the entire decisions based on type of application.
Phishing is one of the most critical application needs for high accuracy and speed in decision making when a malicious webpage impersonates as legitimate webpage to acquire secret information from the user.
In this paper, we proposed a new Association Classification (AC) algorithm as an artificial automated tool to increase the accuracy level of the classification process that aims to discover any malicious webpage.
An Intelligent Association Classification (IAC) algorithm developed in this article by employing the Harmonic Mean measure instead of the support and confidence measure to solve the estimation problem in these measures and discovering hidden pattern not generated by the existing AC algorithms.
Our algorithm compared with four well-known AC algorithm in terms of accuracy, F1, Precision, Recall and execution time.
The experiments and the visualization process show that the IAC algorithm outperformed the others in all cases and emphasize on the importance of the general and specific rules in the classification process.
American Psychological Association (APA)
al-Fayyumi, Mustafa& al-Widyan, Jabir& Abu Sayf, Muhammad. 2020. Intelligent association classification technique for phishing website detection. The International Arab Journal of Information Technology،Vol. 17, no. 4, pp.488-496.
https://search.emarefa.net/detail/BIM-1430881
Modern Language Association (MLA)
al-Fayyumi, Mustafa…[et al.]. Intelligent association classification technique for phishing website detection. The International Arab Journal of Information Technology Vol. 17, no. 4 (Jul. 2020), pp.488-496.
https://search.emarefa.net/detail/BIM-1430881
American Medical Association (AMA)
al-Fayyumi, Mustafa& al-Widyan, Jabir& Abu Sayf, Muhammad. Intelligent association classification technique for phishing website detection. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 4, pp.488-496.
https://search.emarefa.net/detail/BIM-1430881
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 494-495
Record ID
BIM-1430881