Firewall packet filtering optimization using statistical traffic awareness test

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Abstract

In this paper, we present a mechanism that utilizes network traffic behavior and packet filtering statistics to improve firewall performance. The proposed mechanism allows optimizing the filtering rules order and their corresponding fields order upon certain threshold qualification following the divergence of the traffic behavior. The current and previous traffic windows statistics are used to check the system stability using Chi-Square Test. The achieved gain in processing time compared to related mechanisms is due to minimizing the overhead corresponding to the frequency of updating the security policy rule/field structures. © 2012 Springer-Verlag.

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APA

Trabelsi, Z., Zhang, L., & Zeidan, S. (2012). Firewall packet filtering optimization using statistical traffic awareness test. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7618 LNCS, pp. 81–92). https://doi.org/10.1007/978-3-642-34129-8_8

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