An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites-Reference-Cited by-同舟云学术

An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites

Published:2009 Issue: Volume: Page:539-546
ISSN:0302-9743
Container-title:Advances in Neuro-Information Processing
language:
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Author:

Miyamoto Daisuke,Hazeyama Hiroaki,Kadobayashi Youki

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-02490-0_66

Reference15 articles.

1. Anti-Phishing Working Group: Phishing Activity Trends Report (July 2007)

2. Zhang, Y., Egelman, S., Cranor, L., Hong, J.: Phinding Phish: Evaluating Anti-Phishing Tools. In: Proceesings of the 14th Annual Network and Distributed System Security Symposium (NDSS 2007) (2007)

3. Kumar, A.: Phishing - A new age weapon. Technical report, Open Web Application Secuirtry Project (OWASP) (2005)

4. Tally, G., Thomas, R., Vleck, T.V.: Anti-Phishing: Best Practices for Institutions and Consumers. Technical report, McAfee Research (2004)

5. Van der Merwe, A., Loock, M., Dabrowski, M.: Characteristics and responsibilities involeved in a phishing attack. In: Proceedings of the 4th International Symposium on Information and Communication Technologies (ISICT 2005) (2005)

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