Increasing Throughput of Intrusion Detection Systems by Hash-Based Short String Pre-Filter
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138872" target="_blank" >RIV/00216305:26230/20:PU138872 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/LCN48667.2020.9314812" target="_blank" >http://dx.doi.org/10.1109/LCN48667.2020.9314812</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LCN48667.2020.9314812" target="_blank" >10.1109/LCN48667.2020.9314812</a>
Alternative languages
Result language
angličtina
Original language name
Increasing Throughput of Intrusion Detection Systems by Hash-Based Short String Pre-Filter
Original language description
With an increasing speed of network links, it is also necessary to increase the throughput of network security systems. An intrusion detection system (IDS) is one of the key components in the protection of network infrastructure. Unfortunately, the IDS has to match a large set of regular expressions (REs) in network streams, which has a negative impact on its throughput. Currently, multiple parallel machines have to be used to support 100 Gbps throughput of Suricata or Bro IDS. A fast pre-filtration of network traffic can allow the IDS to achieve a higher overall throughput. Therefore, we have designed a new algorithm, which is able to select a set of short strings that represents an RE set utilized in the IDS. Such a set of strings can facilitate fast and efficient pre-filtration. Compared to previous methods, strings selected by the proposed algorithm can reduce network traffic up to 3.3 times better. Moreover, the algorithm is able to select strings representing a single RE in less than a second, thus allowing fast updates of an IDS ruleset. As all selected strings have the same length, they can be used in a hash-based pre-filter, which is able to process more 100 Gbps of network traffic.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VI20192022143" target="_blank" >VI20192022143: Flexible probe for lawful interceptions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - Conference on Local Computer Networks, LCN
ISBN
978-1-7281-7158-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
509-514
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Sydney (virtual)
Event location
Sydney (virtual)
Event date
Nov 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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