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

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}
}