Measuring the Impact of email Headers on the Predictive Accuracy of Machine Learning Techniques

Measuring the Impact of email Headers on the Predictive Accuracy of Machine Learning Techniques

The majority of documented phishing attacks have been carried by email, yet few studies have measured the impact of email headers on the predictive accuracy of machine learning techniques in detecting email phishing attacks. Research has shown that the inclusion of a limited subset of email headers...

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Bibliographic Details
Main Author: Tout, Hicham Refaat
Format: Others
Published: NSUWorks 2013
Subjects:
email based attacks
information security
logistic regression
machine learning
phishing
privacy and security
Computer Sciences
Online Access:http://nsuworks.nova.edu/gscis_etd/325
http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1324&context=gscis_etd

Internet

http://nsuworks.nova.edu/gscis_etd/325
http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1324&context=gscis_etd

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