Evolutionary circuit design for fast FPGA-based classification of network application protocols

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Grochol:2016:ASC,

• author = "D. Grochol and L. Sekanina and M. Zadnik and J. Korenek and V. Kosar",
• title = "Evolutionary circuit design for fast FPGA-based classification of network application protocols",
• journal = "Applied Soft Computing",
• volume = "38",
• pages = "933--941",
• year = "2016",
• ISSN = "1568-4946",
• DOI = "doi:10.1016/j.asoc.2015.09.046",
• URL = "http://www.sciencedirect.com/science/article/pii/S1568494615006262",
• abstract = "The evolutionary design can produce fast and efficient implementations of digital circuits. It is shown in this paper how evolved circuits, optimized for the latency and area, can increase the throughput of a manually designed classifier of application protocols. The classifier is intended for high speed networks operating at 100 Gbps. Because a very low latency is the main design constraint, the classifier is constructed as a combinational circuit in a field programmable gate array (FPGA). The classification is performed using the first packet carrying the application payload. The improvements in latency (and area) obtained by Cartesian genetic programming are validated using a professional FPGA design tool. The quality of classification is evaluated by means of real network data. All results are compared with commonly used classifiers based on regular expressions describing application protocols.",
• keywords = "genetic algorithms, genetic programming, Application protocol, Classifier, Field programmable gate array",

}

Genetic Programming entries for David Grochol Lukas Sekanina Martin Zadnik Jan Korenek V Kosar

Citations