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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PDF Download Page | PDF download Page Link |
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 |
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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 |
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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) |