Phishing Website Detection: An Improved Accuracy through Feature Selection and Ensemble Learning
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 1
Abstract
This research focuses on evaluating whether a website is legitimate or phishing. Our research contributes to improving the accuracy of phishing website detection. Hence, a feature selection algorithm is employed and integrated with an ensemble learning methodology, which is based on majority voting, and compared with different classification models including Random forest, Logistic Regression, Prediction model etc. Our research demonstrates that current phishing detection technologies have an accuracy rate between 70% and 92.52%. The experimental results prove that the accuracy rate of our proposed model can yield up to 95%, which is higher than the current technologies for phishing website detection. Moreover, the learning models used during the experiment indicate that our proposed model has a promising accuracy rate.
Authors and Affiliations
Alyssa Anne Ubing, Syukrina Kamilia Binti Jasmi, Azween Abdullah, NZ Jhanjhi, Mahadevan Supramaniam
Keywords
Related Articles
- EP ID EP448762
- DOI 10.14569/IJACSA.2019.0100133
- Views 87
- Downloads 0
Vehicle Embedded Data Stream Processing Platform for Android Devices
Automotive information services utilizing vehicle data are rapidly expanding. However, there is currently no data centric software architecture that takes into account the scale and complexity of data involving numerous...
Construction of FuzzyFind Dictionary using Golay Coding Transformation for Searching Applications
searching through a large volume of data is very critical for companies, scientists, and searching engines applications due to time complexity and memory complexity. In this paper, a new technique of generating FuzzyFind...
Using Digital Image Processing to Make an Intelligent Gate
This paper presents an automatic system for controlling and dominating building gate based on digital image processing. The system begins with a digital camera, which captures a picture for that vehicle which intends to...
Formalization of Behavior Change Theories to Accomplish a Health Behavior
The objective of this paper is to study theories behind behavior change and adaptation of behavior. Humans often live according to habitual behavior. Changing an existing behavior or adopting a new (healthier) behavior i...
A multi-scale method for automatically extracting the dominant features of cervical vertebrae in CT images
Localization of the dominant points of cervical spines in medical images is important for improving the medical automation in clinical head and neck applications. In order to automatically identify the dominant points of...