Automatically generating classifier for phishing email prediction

- Ma, Liping, Torney, Rosemary, Watters, Paul, Brown, Simon

Title
Automatically generating classifier for phishing email prediction
Creator
Ma, Liping; Torney, Rosemary; Watters, Paul; Brown, Simon
Date
2009
Type
Text; Conference paper
Identifier
http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/34309
Identifier
vital:2935
Identifier
https://doi.org/10.1109/I-SPAN.2009.153
Identifier
ISBN:9780769539089
Abstract
Phishing is a form of online identity theft that employs both social engineering and technical subterfuge to steal consumers' personal identity data and financial account credentials. Phishing email prediction has drawn a lot of attention from many researchers. According to current anti-phishing research, a classifier generated by decision tree produces the most accurate predictions. However, there appears not to be any open source available to transfer such a decision to an implementable classifier. The work presented in this paper builds a decision tree parser which automatically translates a decision tree into an implementable program language so that the decision is useful in real world applications. Experiment results show that the parser performs as well as the original decision. © 2009 IEEE.
Publisher
Kaohsiung, Taiwan : IEEE Computer Society
Relation
Paper presented at I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks, Kaohsiung, Taiwan : 14th-16th December 2009 p. 779-783
Rights
Copyright IEEE
Rights
Open Access
Rights
This metadata is freely available under a CCO license
Subject
Accurate prediction; Anti-phishing; Financial accounts; Online identity; Open sources; Personal identity; Phishing; Program language; Real-world application; Social engineering; Technical subterfuge; Classifiers; Decision trees
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