Publication Details

Analysis of TLS Prefiltering for IDS Acceleration

ŠIŠMIŠ, L.; KOŘENEK, J. Analysis of TLS Prefiltering for IDS Acceleration. In Passive and Active Measurement 2023. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Madrid: Springer Nature Switzerland AG, 2023. p. 85-109. ISBN: 978-3-031-28485-4. ISSN: 0302-9743.
Czech title
Analýza TLS pre-filtrace pro akceleraci IDS
Type
conference paper
Language
English
Authors
URL
Keywords

IDS, TLS, DPDK, Prefilter, Suricata, Performance, Acceleration, Throughput, Measurements

Abstract

Network intrusion detection systems (IDS) and intrusion prevention systems (IPS) have proven to play a key role in securing networks. However, due to their computational complexity, the deployment is difficult and expensive. Therefore, many times the IDS is not powerful enough to handle all network traffic on high-speed network links without uncontrolled packet drop. High-speed packet processing can be achieved using many CPU cores or an appropriate acceleration. But the acceleration has to preserve the detection quality and has to be flexible to handle ever-emerging security threats. One of the common acceleration methods among intrusion detection/prevention systems is the bypass of encrypted packets of the Transport Layer Security (TLS) protocol. This is based on the fact that IDS/IPS cannot match signatures in the packet encrypted payload. The paper provides an analysis and comparison of available TLS bypass solutions and proposes a high-speed encrypted TLS Prefilter for further acceleration. We are able to demonstrate that using our technique, the IDS performance has tripled and at the same time detection results have resulted in a lower rate of false positives. It is designed as a software-only architecture with support for commodity cards. However, the architecture allows smooth transfer of the proposed method to the HW-based solution in Field-programmable gate array (FPGA) network interface cards (NICs).

Published
2023
Pages
85–109
Journal
Lecture Notes in Computer Science, vol. 2023, no. 13882, ISSN 0302-9743
Proceedings
Passive and Active Measurement 2023
Series
Lecture Notes in Computer Science
ISBN
978-3-031-28485-4
Publisher
Springer Nature Switzerland AG
Place
Madrid
DOI
UT WoS
001004071500005
EID Scopus
BibTeX
@inproceedings{BUT185697,
  author="Lukáš {Šišmiš} and Jan {Kořenek}",
  title="Analysis of TLS Prefiltering for IDS Acceleration",
  booktitle="Passive and Active Measurement 2023",
  year="2023",
  series="Lecture Notes in Computer Science",
  journal="Lecture Notes in Computer Science",
  volume="2023",
  number="13882",
  pages="85--109",
  publisher="Springer Nature Switzerland AG",
  address="Madrid",
  doi="10.1007/978-3-031-28486-1\{_}5",
  isbn="978-3-031-28485-4",
  issn="0302-9743",
  url="https://link.springer.com/chapter/10.1007/978-3-031-28486-1_5"
}
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