Publication detail

Analysis of TLS Prefiltering for IDS Acceleration

ŠIŠMIŠ, L. KOŘENEK, J.

Original Title

Analysis of TLS Prefiltering for IDS Acceleration

Type

conference paper

Language

English

Original 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).

Keywords

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

Authors

ŠIŠMIŠ, L.; KOŘENEK, J.

Released

21. 3. 2023

Publisher

Springer Nature Switzerland AG

Location

Madrid

ISBN

978-3-031-28485-4

Book

Passive and Active Measurement 2023

Edition

Lecture Notes in Computer Science

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Year of study

2023

Number

13882

State

Federal Republic of Germany

Pages from

85

Pages to

109

Pages count

25

URL

https://link.springer.com/chapter/10.1007/978-3-031-28486-1_5

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"
}