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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126370" target="_blank" >RIV/00216305:26230/17:PU126370 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/book/10.1007%2F978-3-319-59608-2" target="_blank" >https://link.springer.com/book/10.1007%2F978-3-319-59608-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-59608-2" target="_blank" >10.1007/978-3-319-59608-2</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of 12th International Conference on Security and Privacy in Communication Networks

ISBN

978-3-319-59607-5

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

770-773

Publisher name

Springer International Publishing

Place of publication

Guangzhou

Event location

Guangzhou, People's Republic of China

Event date

Oct 10, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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