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KOŠAŘ, V. KOŘENEK, J.
Originální název
Reduction of FPGA Resources for Regular Expression Matching by Relation Similarity
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
Intrusion Detection Systems have to match large sets of regular expressions to detect malicious traffic on multi-gigabit networks. Many algorithms and architectures have been proposed to accelerate pattern matching, but formal methods for reduction of Nondeterministic finite automata have not been used yet. We propose to use reduction of automata by similarity to match larger set of regular expressions in FPGA. Proposed reduction is able to decrease the number of states by more than 32% and the amount of transitions by more than 31%. The amount of look-up tables is reduced by more than 15% and the amount of flip-flops by more than 34%.
Klíčová slova
FPGA, NFA, reduction, regular expression matching
Autoři
KOŠAŘ, V.; KOŘENEK, J.
Rok RIV
2011
Vydáno
13. 4. 2011
Nakladatel
IEEE Computer Society
Místo
Cottbus
ISBN
978-1-4244-9753-9
Kniha
IEEE Design and Diagnostics of Electronic Circuits and Systems DDECS'2011
Strany od
401
Strany do
402
Strany počet
2
URL
https://www.fit.vut.cz/research/publication/9766/
BibTex
@inproceedings{BUT76456, author="Vlastimil {Košař} and Jan {Kořenek}", title="Reduction of FPGA Resources for Regular Expression Matching by Relation Similarity", booktitle="IEEE Design and Diagnostics of Electronic Circuits and Systems DDECS'2011", year="2011", pages="401--402", publisher="IEEE Computer Society", address="Cottbus", isbn="978-1-4244-9753-9", url="https://www.fit.vut.cz/research/publication/9766/" }
Dokumenty
ddecs.pdf