Conformal Clustering and Its Application to Botnet Traffic. / Cherubin, Giovanni; Nouretdinov, Ilia; Gammerman, Alex; Jordaney, Roberto; Wang, Zhi; Papini, Davide; Cavallaro, Lorenzo.

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 proceedingConference contribution

Published

Standard

Conformal Clustering and Its Application to Botnet Traffic. / Cherubin, Giovanni; Nouretdinov, Ilia; Gammerman, Alex; Jordaney, Roberto; Wang, Zhi; Papini, Davide; Cavallaro, Lorenzo.

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 proceedingConference contribution

Harvard

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

APA

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

Vancouver

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). https://doi.org/10.1007/978-3-319-17091-6_26

Author

Cherubin, Giovanni ; Nouretdinov, Ilia ; Gammerman, Alex ; Jordaney, Roberto ; Wang, Zhi ; Papini, Davide ; Cavallaro, Lorenzo. / 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).

BibTeX

@inproceedings{30ad5b4c43c547b49c54f1525861720f,
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",
year = "2015",
month = apr,
day = "3",
doi = "10.1007/978-3-319-17091-6_26",
language = "English",
isbn = "978-3-319-17090-9",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "313--322",
editor = "Alex Gammerman and Vladimir Vovk and Harris Papadopoulos",
booktitle = "Statistical Learning and Data Sciences",

}

RIS

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

A2 - Vovk, Vladimir

A2 - Papadopoulos, Harris

PB - Springer

ER -