An analysis of clustering objectives for feature selection applied to encrypted traffic identification

Carlos Bacquet; Nur A. Zincir-Heywood; Malcolm I. Heywood

doi:10.1109/CEC.2010.5586163

An analysis of clustering objectives for feature selection applied to encrypted traffic identification

Carlos Bacquet, Nur A. Zincir-Heywood, Malcolm I. Heywood

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

Original language	English
Title of host publication	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
DOIs	https://doi.org/10.1109/CEC.2010.5586163
Publication status	Published - 2010
Event	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 - Barcelona, Spain Duration: Jul 18 2010 → Jul 23 2010

Publication series

Name	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Conference

Conference	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
Country/Territory	Spain
City	Barcelona
Period	7/18/10 → 7/23/10

ASJC Scopus Subject Areas

Computational Theory and Mathematics
Applied Mathematics

Access to Document

10.1109/CEC.2010.5586163

Cite this

Bacquet, C., Zincir-Heywood, N. A., & Heywood, M. I. (2010). An analysis of clustering objectives for feature selection applied to encrypted traffic identification. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 Article 5586163 (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010). https://doi.org/10.1109/CEC.2010.5586163

An analysis of clustering objectives for feature selection applied to encrypted traffic identification. / Bacquet, Carlos; Zincir-Heywood, Nur A.; Heywood, Malcolm I.
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. 2010. 5586163 (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010).

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

Bacquet, C, Zincir-Heywood, NA & Heywood, MI 2010, An analysis of clustering objectives for feature selection applied to encrypted traffic identification. in 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010., 5586163, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010, 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010, Barcelona, Spain, 7/18/10. https://doi.org/10.1109/CEC.2010.5586163

Bacquet C, Zincir-Heywood NA , Heywood MI. An analysis of clustering objectives for feature selection applied to encrypted traffic identification. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. 2010. 5586163. (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010). doi: 10.1109/CEC.2010.5586163

Bacquet, Carlos ; Zincir-Heywood, Nur A. ; Heywood, Malcolm I. / An analysis of clustering objectives for feature selection applied to encrypted traffic identification. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. 2010. (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010).

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ER -

An analysis of clustering objectives for feature selection applied to encrypted traffic identification

Publication series

Conference

ASJC Scopus Subject Areas

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