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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.05
- 수록면
- 617 - 625 (9page)
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초록· 키워드
오류제보하기
Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.
목차
ABSTRACT
1. INTRODUCTION
2. PHISHING WEB DETECTION: A REVIEW
3. CLASSIFICATION ALGORITHMS
4. EXPERIMENT CONFIGURATION
5. RESULT AND DISCUSSION
6. CONCLUSION
REFERENCES
참고문헌 (27)
참고문헌 신청
[보고서] - A.P.W. Group / 2017 / White Paper: Phishing Response Trends, Technical Report
[학술지(정기간행물)] - S.C. Jeeva / 2016 / Intelligent Phishing URL Detection Using Association Rule Mining / Human-Centric Computing and Information Sciences 6 (1) : 1 ~ 19
[학술대회논문] - B.A. Tama / 2015 / Performance Analysis of Multiple Classifier System in DoS Attack Detection / Proceeding of International Workshop on Information Security Applications : 339 ~ 347
[학술지(정기간행물)] - Kokoy Siti Komariah / 2016 / A Study on Efficient Market Hypothesis to Pr edict Exchange Rate Tr ends Using Sentiment Analysis of Twitter Data / 멀티미디어학회논문지 19 (7) : 1107 ~ 1115
[학술지(정기간행물)] - N.C. Oza / 2008 / Classier Ensembles: Select Real-World Applications / Information Fusion 9 (1) : 4 ~ 20
[학술지(정기간행물)] - S.C. Jeeva / 2016 / Intelligent Phishing URL Detection Using Association Rule Mining / Human-Centric Computing and Information Sciences 6 (1) : 1 ~ 19
[학술대회논문] - B.A. Tama / 2015 / Performance Analysis of Multiple Classifier System in DoS Attack Detection / Proceeding of International Workshop on Information Security Applications : 339 ~ 347
[학술지(정기간행물)] - Kokoy Siti Komariah / 2016 / A Study on Efficient Market Hypothesis to Pr edict Exchange Rate Tr ends Using Sentiment Analysis of Twitter Data / 멀티미디어학회논문지 19 (7) : 1107 ~ 1115
[학술지(정기간행물)] - N.C. Oza / 2008 / Classier Ensembles: Select Real-World Applications / Information Fusion 9 (1) : 4 ~ 20
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