Conference paper

KUČERA Jan, KEKELY Lukáš, PUŠ Viktor, PIECEK Adam and KOŘENEK Jan. Hardware Acceleration of Intrusion Detection Systems for High-Speed Networks. In: Proceedings of the 2018 Symposium on Architectures for Networking and Communications Systems. Ithaca, NY: Association for Computing Machinery, 2018, pp. 177-178. ISBN 978-1-4503-5902-3.
Publication language:english
Original title:Hardware Acceleration of Intrusion Detection Systems for High-Speed Networks
Title (cs):Hardwarová akcelerace systémů IDS pro vysokorychlostní počítačové sítě
Pages:177-178
Proceedings:Proceedings of the 2018 Symposium on Architectures for Networking and Communications Systems
Conference:14th ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS '18)
Place:Ithaca, NY, US
Year:2018
ISBN:978-1-4503-5902-3
DOI:10.1145/3230718.3232114
Publisher:Association for Computing Machinery
Keywords
Suricata IDS, high-speed networks, hardware acceleration
Annotation
Intrusion Detection Systems (IDS) are among popular technologies for securing computer networks. However, their high computational complexity makes it hard to meet performance goals of modern high-speed networks. This paper aims at an acceleration of IDS by informed packet discarding. Focusing the limited computational resources available to IDS towards only the most relevant parts of incoming traffic and offloading (bypassing) the rest. We show that this controlled (informed) discarding of well-defined traffic portions helps IDS to achieve better results and compare software and FPGA accelerated discarding implementations.
BibTeX:
@INPROCEEDINGS{
   author = {Jan Ku{\v{c}}era and Luk{\'{a}}{\v{s}} Kekely and
	Viktor Pu{\v{s}} and Adam Piecek and Jan
	Ko{\v{r}}enek},
   title = {Hardware Acceleration of Intrusion Detection
	Systems for High-Speed Networks},
   pages = {177--178},
   booktitle = {Proceedings of the 2018 Symposium on Architectures for
	Networking and Communications Systems},
   year = 2018,
   location = {Ithaca, NY, US},
   publisher = {Association for Computing Machinery},
   ISBN = {978-1-4503-5902-3},
   doi = {10.1145/3230718.3232114},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11796}
}

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