PhiDMA – A phishing detection model with multi-filter approach

Author:

Sonowal Gunikhan,Kuppusamy K.S.

Publisher

Elsevier BV

Subject

General Computer Science

Reference69 articles.

1. Phishing detection based associative classification data mining;Abdelhamid;Expert Syst. Appl.,2014

2. Approximate string matching algorithm for phishing detection. in: dvances in Computing;Abraham,2014

3. Intelligent phishing detection system for e-banking using fuzzy data mining;Aburrous;Expert Syst. Appl.,2010

4. Achecker (Accessed on 2016). Accessibility checker. URLhttp://achecker.ca/checker/index.php.

5. Afroz, S., Greenstadt, R., 2011. Phishzoo: Detecting phishing websites by looking at them. in: Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on (pp. 368–375). doi:http://dx.doi.org/10.1109/ICSC.2011.52http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=6061361&tag=1.

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