Conformal Clustering and Its Application to Botnet Traffic

Giovanni Cherubin; Ilia Nouretdinov; Alex Gammerman; Roberto Jordaney; Zhi Wang; Davide Papini; Lorenzo Cavallaro

doi:10.1007/978-3-319-17091-6_26

Conformal Clustering and Its Application to Botnet Traffic

Giovanni Cherubin, Ilia Nouretdinov, Alex Gammerman, Roberto Jordaney, Zhi Wang, Davide Papini, Lorenzo Cavallaro

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

Abstract

The paper describes an application of a novel clustering technique based on Conformal Predictors. Unlike traditional clustering methods, this technique allows to control the number of objects that are left outside of any cluster by setting up a required confidence level. This paper considers a multi-class unsupervised learning problem, and the developed technique is applied to bot-generated network traffic. An extended set of features describing the bot traffic is presented and the results are discussed.

Original language	English
Title of host publication	Statistical Learning and Data Sciences
Subtitle of host publication	Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings
Editors	Alex Gammerman, Vladimir Vovk, Harris Papadopoulos
Publisher	Springer
Pages	313-322
Number of pages	10
ISBN (Electronic)	978-3-319-17091-6
ISBN (Print)	978-3-319-17090-9
DOIs	https://doi.org/10.1007/978-3-319-17091-6_26
Publication status	Published - 3 Apr 2015

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9047
ISSN (Print)	0302-9743

Access to Document

10.1007/978-3-319-17091-6_26

http://link.springer.com/chapter/10.1007/978-3-319-17091-6_26

Centre for Doctoral Training in Cyber Security
Cid, C. (PI), Crampton, J. (CoI), Martin, K. M. (CoI) & Paterson, K. (CoI)
Eng & Phys Sci Res Council EPSRC
1/04/13 → 31/12/19
Project: Research

Statistical Learning and Data Sciences (SLDS)
Giovanni Cherubin (Speaker)
2015
Activity: Participating in or organising an event › Participation in conference

Best student paper
Cherubin, Giovanni (Recipient), 2015
Prize: Prize (including medals and awards)

Cite this

Cherubin, G., Nouretdinov, I., Gammerman, A., Jordaney, R., Wang, Z., Papini, D., & Cavallaro, L. (2015). Conformal Clustering and Its Application to Botnet Traffic. In A. Gammerman, V. Vovk, & H. Papadopoulos (Eds.), Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings (pp. 313-322). (Lecture Notes in Computer Science; Vol. 9047). Springer. https://doi.org/10.1007/978-3-319-17091-6_26

Cherubin, Giovanni ; Nouretdinov, Ilia ; Gammerman, Alex et al. / Conformal Clustering and Its Application to Botnet Traffic. Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. editor / Alex Gammerman ; Vladimir Vovk ; Harris Papadopoulos. Springer, 2015. pp. 313-322 (Lecture Notes in Computer Science).

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title = "Conformal Clustering and Its Application to Botnet Traffic",

abstract = "The paper describes an application of a novel clustering technique based on Conformal Predictors. Unlike traditional clustering methods, this technique allows to control the number of objects that are left outside of any cluster by setting up a required confidence level. This paper considers a multi-class unsupervised learning problem, and the developed technique is applied to bot-generated network traffic. An extended set of features describing the bot traffic is presented and the results are discussed.",

author = "Giovanni Cherubin and Ilia Nouretdinov and Alex Gammerman and Roberto Jordaney and Zhi Wang and Davide Papini and Lorenzo Cavallaro",

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language = "English",

isbn = "978-3-319-17090-9",

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Cherubin, G, Nouretdinov, I , Gammerman, A, Jordaney, R, Wang, Z, Papini, D & Cavallaro, L 2015, Conformal Clustering and Its Application to Botnet Traffic. in A Gammerman, V Vovk & H Papadopoulos (eds), Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Lecture Notes in Computer Science, vol. 9047, Springer, pp. 313-322. https://doi.org/10.1007/978-3-319-17091-6_26

Conformal Clustering and Its Application to Botnet Traffic. / Cherubin, Giovanni; Nouretdinov, Ilia ; Gammerman, Alex et al.
Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. ed. / Alex Gammerman; Vladimir Vovk; Harris Papadopoulos. Springer, 2015. p. 313-322 (Lecture Notes in Computer Science; Vol. 9047).

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

TY - GEN

T1 - Conformal Clustering and Its Application to Botnet Traffic

AU - Cherubin, Giovanni

AU - Nouretdinov, Ilia

AU - Gammerman, Alex

AU - Jordaney, Roberto

AU - Wang, Zhi

AU - Papini, Davide

AU - Cavallaro, Lorenzo

PY - 2015/4/3

Y1 - 2015/4/3

N2 - The paper describes an application of a novel clustering technique based on Conformal Predictors. Unlike traditional clustering methods, this technique allows to control the number of objects that are left outside of any cluster by setting up a required confidence level. This paper considers a multi-class unsupervised learning problem, and the developed technique is applied to bot-generated network traffic. An extended set of features describing the bot traffic is presented and the results are discussed.

AB - The paper describes an application of a novel clustering technique based on Conformal Predictors. Unlike traditional clustering methods, this technique allows to control the number of objects that are left outside of any cluster by setting up a required confidence level. This paper considers a multi-class unsupervised learning problem, and the developed technique is applied to bot-generated network traffic. An extended set of features describing the bot traffic is presented and the results are discussed.

U2 - 10.1007/978-3-319-17091-6_26

DO - 10.1007/978-3-319-17091-6_26

M3 - Conference contribution

SN - 978-3-319-17090-9

T3 - Lecture Notes in Computer Science

SP - 313

EP - 322

BT - Statistical Learning and Data Sciences

A2 - Gammerman, Alex

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Cherubin G, Nouretdinov I , Gammerman A, Jordaney R, Wang Z, Papini D et al. Conformal Clustering and Its Application to Botnet Traffic. In Gammerman A, Vovk V, Papadopoulos H, editors, Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Springer. 2015. p. 313-322. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-17091-6_26

Conformal Clustering and Its Application to Botnet Traffic

Abstract

Publication series

Access to Document

Projects

Centre for Doctoral Training in Cyber Security

Activities

Statistical Learning and Data Sciences (SLDS)

Prizes

Best student paper

Cite this