Detail publikace

ASNM Datasets: A Collection of Network Attacks for Testing of Adversarial Classifiers and Intrusion Detectors

HOMOLIAK, I. MALINKA, K. HANÁČEK, P.

Originální název

ASNM Datasets: A Collection of Network Attacks for Testing of Adversarial Classifiers and Intrusion Detectors

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

In this paper, we present three datasets that have been built from network traffic traces using ASNM features, designed in our previous work. The first dataset was built using a state-of-the-art dataset called CDX 2009, while the remaining two datasets were collected by us in 2015 and 2018, respectively. These two datasets contain several adversarial obfuscation techniques that were applied onto malicious as well as legitimate traffic samples during the execution of particular TCP network connections. Adversarial obfuscation techniques were used for evading machine learning-based network intrusion detection classifiers. Further, we showed that the performance of such classifiers can be improved when partially augmenting their training data by samples obtained from obfuscation techniques. In detail, we utilized tunneling obfuscation in HTTP(S) protocol and non-payload-based obfuscations modifying various properties of network traffic by, e.g., TCP segmentation, re-transmissions, corrupting and reordering of packets, etc. To the best of our knowledge, this is the first collection of network traffic metadata that contains adversarial techniques and is intended for non-payload-based network intrusion detection and adversarial classification. Provided datasets enable testing of the evasion resistance of arbitrary classifier that is using ASNM features.

Klíčová slova

   - Dataset,    - network intrusion detection,    - adversarial classification,    - evasions,    - ASNM features,    - buffer overflow,    - non-payload-based obfuscations,    - tunneling obfuscations

Autoři

HOMOLIAK, I.; MALINKA, K.; HANÁČEK, P.

Vydáno

11. 6. 2020

ISSN

2169-3536

Periodikum

IEEE Access

Ročník

8

Číslo

6

Stát

Spojené státy americké

Strany od

112427

Strany do

112453

Strany počet

27

URL

https://ieeexplore.ieee.org/document/9115004

BibTex

@article{BUT162288,
  author="Ivan {Homoliak} and Kamil {Malinka} and Petr {Hanáček}",
  title="ASNM Datasets: A Collection of Network Attacks for Testing of Adversarial Classifiers and Intrusion Detectors",
  journal="IEEE Access",
  year="2020",
  volume="8",
  number="6",
  pages="112427--112453",
  doi="10.1109/ACCESS.2020.3001768",
  issn="2169-3536",
  url="https://ieeexplore.ieee.org/document/9115004"
}