Presentation 2017-11-15
Machine Learning Approach for Phishing Detection in SDN Networking
Yu-Hung Chen, Jiun-Yu Yang, Po-Chun Hou, Jiann-Liang Chen,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) People have become increasingly dependent on information technology since the emergence of the Internet. Therefore, many hackers engage in financial crimes and computer attacks through the Internet. The existing attack modes include a combination of Trojans, Botnet, social engineering, and email phishing technology. In recent years, the rise of numerous phishing attacks has led to great money loss on the part of people deceived by phishing attacks. In general, phishing websites have a short lifetime, and the attack technique is relatively more complex, thus drawing information security concern. In this study, the software-defined infrastructure was adopted to deploy a platform where automated phishing website risk analysis, assessment, and strategic executions and operations were conducted. During the experimentation period, 25,000 phishing websites were obtained using Common Crawl, and 25,000 illegal websites were obtained from Phishing Tank. Machine learning was conjunctively used in this study to complete the research and development of the phishing website learning model creation, risk analysis, hazard assessment, and other mechanisms. Software-defined networking was subsequently used to carry out strategic execution targeting hazardous messages in order to ensure a high degree of overall network environment security. The experimental results show that the training model in this study reaches an accuracy of 96.97%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Phishing detection / Software-Defined Networking / Extreme Learning Machine / Ensemble Learning / Feature engineering
Paper # IA2017-30
Date of Issue 2017-11-08 (IA)

Conference Information
Committee IA
Conference Date 2017/11/15(2days)
Place (in Japanese) (See Japanese page)
Place (in English) KMITL, Bangkok, Thailand
Topics (in Japanese) (See Japanese page)
Topics (in English) IA2017 - Workshop on Internet Architecture and Applications 2017
Chair Katsuyoshi Iida(Hokkaido Univ.)
Vice Chair Rei Atarashi(IIJ) / Hiroyuki Osaki(Kwansei Gakuin Univ.) / Tomoki Yoshihisa(Osaka Univ.)
Secretary Rei Atarashi(Tokyo Metropolitan Univ.) / Hiroyuki Osaki(TOYOTA-IT) / Tomoki Yoshihisa
Assistant Kenji Ohira(Tokushima Univ.) / Ryohei Banno(NTT) / Toshiki Watanabe(NEC)

Paper Information
Registration To Technical Committee on Internet Architecture
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Machine Learning Approach for Phishing Detection in SDN Networking
Sub Title (in English)
Keyword(1) Phishing detection
Keyword(2) Software-Defined Networking
Keyword(3) Extreme Learning Machine
Keyword(4) Ensemble Learning
Keyword(5) Feature engineering
1st Author's Name Yu-Hung Chen
1st Author's Affiliation National Taiwan University of Science & Technology(National Taiwan University of Science & Technology)
2nd Author's Name Jiun-Yu Yang
2nd Author's Affiliation National Taiwan University of Science & Technology(National Taiwan University of Science & Technology)
3rd Author's Name Po-Chun Hou
3rd Author's Affiliation National Taiwan University of Science & Technology(National Taiwan University of Science & Technology)
4th Author's Name Jiann-Liang Chen
4th Author's Affiliation National Taiwan University of Science & Technology(National Taiwan University of Science & Technology)
Date 2017-11-15
Paper # IA2017-30
Volume (vol) vol.117
Number (no) IA-299
Page pp.pp.1-6(IA),
#Pages 6
Date of Issue 2017-11-08 (IA)