New Hybrid Features Selection Method: A Case Study on Websites Phishing
Author
Source
Security and Communication Networks
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Phishing is one of the serious web threats that involves mimicking authenticated websites to deceive users in order to obtain their financial information.
Phishing has caused financial damage to the different online stakeholders.
It is massive in the magnitude of hundreds of millions; hence it is essential to minimize this risk.
Classifying websites into “phishy” and legitimate types is a primary task in data mining that security experts and decision makers are hoping to improve particularly with respect to the detection rate and reliability of the results.
One way to ensure the reliability of the results and to enhance performance is to identify a set of related features early on so the data dimensionality reduces and irrelevant features are discarded.
To increase reliability of preprocessing, this article proposes a new feature selection method that combines the scores of multiple known methods to minimize discrepancies in feature selection results.
The proposed method has been applied to the problem of website phishing classification to show its pros and cons in identifying relevant features.
Results against a security dataset reveal that the proposed preprocessing method was able to derive new features datasets which when mined generate high competitive classifiers with reference to detection rate when compared to results obtained from other features selection methods.
American Psychological Association (APA)
Rajab, Khairan D.. 2017. New Hybrid Features Selection Method: A Case Study on Websites Phishing. Security and Communication Networks،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1203236
Modern Language Association (MLA)
Rajab, Khairan D.. New Hybrid Features Selection Method: A Case Study on Websites Phishing. Security and Communication Networks No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1203236
American Medical Association (AMA)
Rajab, Khairan D.. New Hybrid Features Selection Method: A Case Study on Websites Phishing. Security and Communication Networks. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1203236
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203236