Detection of fraudulent emails by employing advanced feature abundance-Reference-Cited by-同舟云学术

Detection of fraudulent emails by employing advanced feature abundance

Published:2014-11 Issue:3 Volume:15 Page:169-174
ISSN:1110-8665
Container-title:Egyptian Informatics Journal
language:en
Short-container-title:Egyptian Informatics Journal

Author:

Nizamani Sarwat,Memon Nasrullah^ORCID,Glasdam Mathies,Nguyen Dong Duong

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Computer Science Applications,Information Systems

Reference24 articles.

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2. Modeling suspicious email detection using enhanced feature selection;Nizamani;Int J Model Optim,2012

3. Detection of illegitimate emails using boosting algorithm;Nizamani,2011

4. Sasaki M, Shinnou H. Spam detection using text clustering. In: 2005 International conference on cyberworlds, IEEE; 2005. p. 4 pp-316.

5. Association rule mining for suspicious email detection: a data mining approach;Appavu,2007

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