Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques

Authors

  • Huda Yousif Kadhim Master Degree Student in Computer Science Department, College of Science, Mustansiriyah University.
  • Karim Hashim Al-saedi Ass. Prof. Dr. Karim Hashim Al-Saedi, received the PhD degree in computer science (Data Mining and Network Security) from the Universiti Sains Malaysia (USM) in 2013,and M.Sc. in computer science at University of Technology, Baghdad, Iraq, in 2005, He is working as Lecture in Department of Computer Science, College of science, at AL-Mustansiriyah University, Baghdad, Iraq. His research interests include the areas of Data Mining, Advanced Internet Security and monitoring, Medical Image Assessment, and Machine learning. He published 21 papers. He is a Member of the Internet Society (ISOC), since 2012. Malaysia, Member of the UNCTAD Virtual Institute, since 2006. Geneva, Switzerland, and Member of the Iraq Computer Society since 1997. Baghdad, Iraq.
  • Mustafa Dhiaa Al-Hassani Assistant Professor Dr. Mustafa Dhiaa Al-Hassani received the Ph.D. degree in computer science (Identification Techniques using Speech Signals and Fingerprints) from Al-Nahrain University in 2006 (1 st Rank), and MSc. in computer science (Design of a Fingerprint Recognition System using Wavelet Transformation) from Al-Nahrain University in 2002. Member of Teaching Staff in Computer Dept./ College of Sciences/ Mustansiriyah University, Baghdad- Iraq, since 2007. Get the Scientific Prize on Iraq (at 1999) for Computer Science during the competition exam. Get many International Certificates in the field of IT. Occupy several administrative positions. Publish a lot of Papers and Books in computer science fields. He supervised on many post graduate students. His interest in the area: Information Security, Multimedia Processing, Data Compression, Databases, Pattern Recognition, eLearning.

DOI:

https://doi.org/10.3991/ijim.v13i10.10797

Keywords:

mobile Phishing attacks, Phishing, Data Mining, Web-based Phishing attack,

Abstract


Abstract— The widespread use of smart phones nowadays makes them vulnerable to phishing. Phishing is the process of trying to steal user information over the Internet by claiming they are a trusted entity and thus access and steal the victim's data(user name, password and credit card details). Consequently, the need for mobile phishing detection system has become an urgent need. And this is what we are attempting to introduce in this paper, where we introduce a system to detect phishing websites on Android phones. That predicts and prevents phishing websites from deceiving users, utilizing data mining techniques to predict whether a website is phishing or not, relying on a set of factors (URL based features, HTML based features and Domain based features). The results shows system effectiveness in predicting phishing websites with 97% as prediction accuracy.

Author Biographies

Karim Hashim Al-saedi, Ass. Prof. Dr. Karim Hashim Al-Saedi, received the PhD degree in computer science (Data Mining and Network Security) from the Universiti Sains Malaysia (USM) in 2013,and M.Sc. in computer science at University of Technology, Baghdad, Iraq, in 2005, He is working as Lecture in Department of Computer Science, College of science, at AL-Mustansiriyah University, Baghdad, Iraq. His research interests include the areas of Data Mining, Advanced Internet Security and monitoring, Medical Image Assessment, and Machine learning. He published 21 papers. He is a Member of the Internet Society (ISOC), since 2012. Malaysia, Member of the UNCTAD Virtual Institute, since 2006. Geneva, Switzerland, and Member of the Iraq Computer Society since 1997. Baghdad, Iraq.

Ass. Prof.

Computer Science Dep.

Mustafa Dhiaa Al-Hassani, Assistant Professor Dr. Mustafa Dhiaa Al-Hassani received the Ph.D. degree in computer science (Identification Techniques using Speech Signals and Fingerprints) from Al-Nahrain University in 2006 (1 st Rank), and MSc. in computer science (Design of a Fingerprint Recognition System using Wavelet Transformation) from Al-Nahrain University in 2002. Member of Teaching Staff in Computer Dept./ College of Sciences/ Mustansiriyah University, Baghdad- Iraq, since 2007. Get the Scientific Prize on Iraq (at 1999) for Computer Science during the competition exam. Get many International Certificates in the field of IT. Occupy several administrative positions. Publish a lot of Papers and Books in computer science fields. He supervised on many post graduate students. His interest in the area: Information Security, Multimedia Processing, Data Compression, Databases, Pattern Recognition, eLearning.

Ass. Prof.

Computer Science Dep.

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Published

2019-09-25

How to Cite

Kadhim, H. Y., Al-saedi, K. H., & Al-Hassani, M. D. (2019). Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques. International Journal of Interactive Mobile Technologies (iJIM), 13(10), pp. 205–213. https://doi.org/10.3991/ijim.v13i10.10797

Issue

Vol. 13 No. 10 (2019)

Section

Short Papers