Faculty of Information Technology, BUT

Publication Details

Exploitation of NetEm Utility for Non-payload-based Obfuscation Techniques Improving Network Anomaly Detection

HOMOLIAK Ivan, BARABAS Maroš and HANÁČEK Petr. Exploitation of NetEm Utility for Non-payload-based Obfuscation Techniques Improving Network Anomaly Detection. In: Proceedings of 12th International Conference on Security and Privacy in Communication Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Guangzhou: Springer International Publishing, 2017, pp. 770-773. ISBN 978-3-319-59607-5.
Czech title
Využití nástroje NetEm pro Non-payload-based obfuskační techniky vylepšující detekci síťových anomalí
Type
conference paper
Language
english
Authors
Keywords
NetEm,
Network anomaly detection,
Intrusion detection,
Obfuscation, 
Evasion,
Naive Bayes 
Abstract
The main objective of our work is to aid in the improvement of attack detection capabilities of machine learning based network anomaly detection. The paper leverages several techniques aimed at obfuscation of remote attacks which are based on the modification of various properties of network flows. We present a tool, based on NetEm utility and Metasploit framework, which serves for automatic exploitation of network vulnerabilities enabling utilization of obfuscation techniques. The tool is applied to the chosen set of network attacks and later we use captured data for data mining experiments employing anomaly detection features called Advanced Security Network Metrics which were designed in our previous work. Experiments confirm the assumption of achieving a better classification recall and precision only in the case of obfuscated attacks are included into a training process of the Naive Bayes classifier compared to training without prior knowledge about them. We perform accuracy evaluation of all suggested obfuscations, whereby the most successful ones are based on combinations of several techniques and damaging of packets. Experimentally, our approach does not consider a normalizer of network traffic, as there were described performance and platform dependence issues with normalizers as well as differences and problems with various implementations.
Published
2017
Pages
770-773
Proceedings
Proceedings of 12th International Conference on Security and Privacy in Communication Networks
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Conference
The 12th EAI International Conference on Security and Privacy in Communication Networks, Guangzhou, People's Republic of China, CN
ISBN
978-3-319-59607-5
Publisher
Springer International Publishing
Place
Guangzhou, CN
DOI
BibTeX
@INPROCEEDINGS{FITPUB10934,
   author = "Ivan Homoliak and Maro\v{s} Barabas and Petr Han\'{a}\v{c}ek",
   title = "Exploitation of NetEm Utility for Non-payload-based Obfuscation Techniques Improving Network Anomaly Detection",
   pages = "770--773",
   booktitle = "Proceedings of 12th International Conference on Security and Privacy in Communication Networks",
   series = "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",
   year = 2017,
   location = "Guangzhou, CN",
   publisher = "Springer International Publishing",
   ISBN = "978-3-319-59607-5",
   doi = "10.1007/978-3-319-59608-2",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10934"
}
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