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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Improvement of Persian Spam Filtering by Game Theory

Author 1: Seyedeh Tina Sefati
Author 2: Mohammad-Reza Feizi-Derakhshi
Author 3: Seyed Naser Razavi

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070644

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 6, 2016.

  • Abstract and Keywords
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Abstract: There are different methods for dealing with spams; however, since spammers continuously use tricks to defeat the proposed methods, hence, filters should be constantly updated. In this study, Stackelberg game was used to produce a dynamic filter and the relations between filter and adversary were modelled as a turn game in which there is a leader and a follower. Then, an attempt was made to solve the game as an optimization program via the evolutionary stable strategy (ESS). The dataset used in the study for evaluating and analyzing the proposed method was a real dataset including the emails of four users’ personal emails. The results of the conducted evaluations and investigations indicated that the proposed method had an 8% improvement over the three-class classification method and a 0.8% improvement over the ESS-based equilibrium point method

Keywords: Spam Filtering; Game theory; Stackelberg game; Evolutionary Stable Strategy; Email Classification; Stackelberg equilibria

Seyedeh Tina Sefati, Mohammad-Reza Feizi-Derakhshi and Seyed Naser Razavi, “Improvement of Persian Spam Filtering by Game Theory” International Journal of Advanced Computer Science and Applications(IJACSA), 7(6), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070644

@article{Sefati2016,
title = {Improvement of Persian Spam Filtering by Game Theory},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070644},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070644},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {6},
author = {Seyedeh Tina Sefati and Mohammad-Reza Feizi-Derakhshi and Seyed Naser Razavi}
}


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