Paper Info
Title
Detecting Phishing Pages Using The Relief Feature Selection And Multiple Classifiers
Abstract
Website phishing is a deception in e-commerce, which attempts to steal user confidential information using similar websites. The classification technique is one of the common ways to detect phishing websites. According to high-volume main data, attribute reduction algorithms play an essential role. This paper presents an appropriate model based on the relief algorithm to reduce dimension. Moreover, the proposed approach uses multiple-classifiers to increase accuracy. The evaluated results show higher accuracy and superiority than conventional methods.
Year
DOI
Venue
2020
10.1504/IJESDF.2020.106325
INTERNATIONAL JOURNAL OF ELECTRONIC SECURITY AND DIGITAL FORENSICS
Keywords
DocType
Volume
attribute reduction, combining classifications algorithm, phishing, relief algorithm
Journal
12
Issue
ISSN
Citations 
2
1751-911X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Seyyed-Mohammad Javadi-Moghaddam100.34
Mohammad Golami200.34