Application of Feature Engineering for Phishing Detection-Reference-Cited by-同舟云学术

Application of Feature Engineering for Phishing Detection

Published:2016 Issue:4 Volume:E99.D Page:1062-1070
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

ZHANG Wei¹,REN Huan²,JIANG Qingshan¹

Affiliation:

1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

2. University of Science and Technology of China

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E99.D/4/E99.D_2015CYP0005/_pdf

Reference33 articles.

1. [1] Cyren, “2015 Cyber Threats Yearbook,” http://pages.cyren.com/SecurityYearbook_2015.html, accessed July 1, 2015.

2. [2] Mozilla, https://support.mozilla.org/en-US/kb/how-does-phishing-and-malware-protection-work, accessed July 1, 2015.

3. [3] Netcraft, http://toolbar.netcraft.com/, accessed July 1, 2015.

4. [4] W.W. Zhuang, and Q.S. Jiang, “Intelligent anti-phishing framework using multiple classifiers combination,” Journal of Computational Information Systems, vol.8, no.17, pp.7267-7281, March 2012.

5. [5] J. Ma, L.K. Saul, S. Savage, and G.M. Voelker, “Beyond blacklists: Learning to detect malicious web sites from suspicious URLs,” Proc. 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.1245-1254, Paris, France, June 2009.

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