An Ensemble Model for Identification of Phishing Website
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
Identification of phishing websites is very challenging task for every internet and e-mail users. To protect the information from unauthorized person classification of phishing websites is very important. In this research work , we have used many data mining based classification techniques like C4.5, SimpleCart, Random tree, SVM and MLP for classification of phishing websites with different data partitions like 75% training and 25% testing,, 80% training and 20% testing and 85% training and 15% testing. To develop a robust model , we have ensemble the models with different combinations. We have achieved better accuracy with ensemble of C4.5, SimpleCart , MLP and Random tree with all data partitions, but it achieved best accuracy as 97.16% in case of 85-15% data partition.
Authors and Affiliations
Jaspreet Kaur Virdi, Amit Kumar Dewangan
Keywords
Related Articles
- EP ID EP23911
- DOI http://doi.org/10.22214/ijraset.2017.4205
- Views 284
- Downloads 10
Image Data Categorization Based on Texture Feature and Neural Network Based Classifier
The classification and categorization of digital multi-media data is very challenging task for the storage manager and server. The diversity of multi-media data faced a problem of retrieval over the internet. The retrie...
PLC Based Industrial Conveyor Automation and Monitoring
The paper presents the automatic segregation and directing of the materials using PLC. The materials on the conveyor belt are destined to different stages of manufacturing. The idea is to automate the process of conveyo...
Topological Optimization Of An L-shaped Bracket Subjected to Different Loading Conditions
Topology optimization is an very powerful tool in many areas of design such as optics, electronics and structural mechanics. The field materialized from structural design and so topology optimization applied in this con...
A FAST Algorithm for High Dimensional Data using Clustering-Based Feature Subset Selection
Feature subset clustering is a powerful technique to reduce the dimensionality of feature vectors for text classification and involves identifying a subset of the most useful features that produces compatible results as...
Mathematical Modeling and Simulation of Switched Reluctance Motor
The SRM motors are simple in construction structure. The switched reluctance motor has high torque, high reliability and inexpensive manufacturing cost. This paper describes the mathematical model of SRM motor and its w...