The impact of evasion on the generalization of machine learning algorithms to classify VoIP traffic

Riyad Alshammari; A. Nur Zincir-Heywood

doi:10.1109/ICCCN.2012.6289243

The impact of evasion on the generalization of machine learning algorithms to classify VoIP traffic

Riyad Alshammari, A. Nur Zincir-Heywood

Environmental Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Original language	English
Title of host publication	2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings
DOIs	https://doi.org/10.1109/ICCCN.2012.6289243
Publication status	Published - 2012
Event	2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Munich, Germany Duration: Jul 30 2012 → Aug 2 2012

Publication series

Name	2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings

Conference

Conference	2012 21st International Conference on Computer Communications and Networks, ICCCN 2012
Country/Territory	Germany
City	Munich
Period	7/30/12 → 8/2/12

ASJC Scopus Subject Areas

Computer Networks and Communications

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10.1109/ICCCN.2012.6289243

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Alshammari, R., & Zincir-Heywood, A. N. (2012). The impact of evasion on the generalization of machine learning algorithms to classify VoIP traffic. In 2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings Article 6289243 (2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings). https://doi.org/10.1109/ICCCN.2012.6289243

The impact of evasion on the generalization of machine learning algorithms to classify VoIP traffic. / Alshammari, Riyad; Zincir-Heywood, A. Nur.
2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings. 2012. 6289243 (2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Alshammari, R & Zincir-Heywood, AN 2012, The impact of evasion on the generalization of machine learning algorithms to classify VoIP traffic. in 2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings., 6289243, 2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings, 2012 21st International Conference on Computer Communications and Networks, ICCCN 2012, Munich, Germany, 7/30/12. https://doi.org/10.1109/ICCCN.2012.6289243

Alshammari R, Zincir-Heywood AN. The impact of evasion on the generalization of machine learning algorithms to classify VoIP traffic. In 2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings. 2012. 6289243. (2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings). doi: 10.1109/ICCCN.2012.6289243

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The impact of evasion on the generalization of machine learning algorithms to classify VoIP traffic

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