Intelligent association classification technique for phishing website detection

المؤلفون المشاركون

al-Fayyumi, Mustafa
al-Widyan, Jabir
Abu Sayf, Muhammad

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 17، العدد 4 (31 يوليو/تموز 2020)، ص ص. 488-496، 9ص.

الناشر

جامعة الزرقاء عمادة البحث العلمي

تاريخ النشر

2020-07-31

دولة النشر

الأردن

عدد الصفحات

9

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 494-495

رقم السجل

BIM-1430881