Deep Packet Inspection in FPGAs via Approximate Nondeterministic Automata
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU132977" target="_blank" >RIV/00216305:26230/19:PU132977 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.fit.vut.cz/research/publication/11951/" target="_blank" >https://www.fit.vut.cz/research/publication/11951/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FCCM.2019.00025" target="_blank" >10.1109/FCCM.2019.00025</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Deep Packet Inspection in FPGAs via Approximate Nondeterministic Automata
Popis výsledku v původním jazyce
Deep packet inspection via regular expression (RE) matching is a crucial task of network intrusion detection systems (IDSes), which secure Internet connection against attacks and suspicious network traffic. Monitoring high-speed computer networks (100 Gbps and faster) in a single-box solution demands that the RE matching, traditionally based on finite automata (FAs), is accelerated in hardware. In this paper, we describe a novel FPGA architecture for RE matching that is able to process network traffic beyond 100 Gbps. The key idea is to reduce the required FPGA resources by leveraging approximate nondeterministic FAs (NFAs). The NFAs are compiled into a multi-stage architecture starting with the least precise stage with a high throughput and ending with the most precise stage with a low throughput. To obtain the reduced NFAs, we propose new approximate reduction techniques that take into account the profile of the network traffic. Our experiments showed that using our approach, we were able to perform matching of large sets of REs from Snort, a popular IDS, on unprecedented network speeds.
Název v anglickém jazyce
Deep Packet Inspection in FPGAs via Approximate Nondeterministic Automata
Popis výsledku anglicky
Deep packet inspection via regular expression (RE) matching is a crucial task of network intrusion detection systems (IDSes), which secure Internet connection against attacks and suspicious network traffic. Monitoring high-speed computer networks (100 Gbps and faster) in a single-box solution demands that the RE matching, traditionally based on finite automata (FAs), is accelerated in hardware. In this paper, we describe a novel FPGA architecture for RE matching that is able to process network traffic beyond 100 Gbps. The key idea is to reduce the required FPGA resources by leveraging approximate nondeterministic FAs (NFAs). The NFAs are compiled into a multi-stage architecture starting with the least precise stage with a high throughput and ending with the most precise stage with a low throughput. To obtain the reduced NFAs, we propose new approximate reduction techniques that take into account the profile of the network traffic. Our experiments showed that using our approach, we were able to perform matching of large sets of REs from Snort, a popular IDS, on unprecedented network speeds.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 27th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)
ISBN
978-1-7281-1132-2
ISSN
—
e-ISSN
—
Počet stran výsledku
9
Strana od-do
109-117
Název nakladatele
Institute of Electrical and Electronics Engineers
Místo vydání
San Diego, CA
Místo konání akce
San Diego, CA
Datum konání akce
28. 4. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000491873200016