Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing
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- @InProceedings{Grochol:2020:CEC,
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author = "David Grochol and Lukas Sekanina",
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booktitle = "2020 IEEE Congress on Evolutionary Computation (CEC)",
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title = "Evolutionary Design of Hash Functions for {IPv6}
Network Flow Hashing",
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year = "2020",
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editor = "Yaochu Jin",
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month = "19-24 " # jul,
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/CEC48606.2020.9185723",
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isbn13 = "978-1-7281-6929-3",
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abstract = "Fast and high-quality network flow hashing is an
essential operation in many high-speed network systems
such as network monitoring probes. We propose a
multi-objective evolutionary design method capable of
evolving hash functions for IPv4 and IPv6 flow hashing.
Our approach combines Cartesian genetic programming
(CGP) with Non-dominated sorting genetic algorithm II
(NSGA-II) and aims to optimize not only the quality of
hashing, but also the execution time of the hash
function. The evolved hash functions are evaluated on
real data sets collected in computer network and
compared against other evolved and conventionally
created hash functions.",
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notes = "Also known as \cite{9185723}",
- }
Genetic Programming entries for
David Grochol
Lukas Sekanina
Citations