Applying deep learning on packet flows for botnet detection

Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Original languageEnglish
Title of host publicationProceedings of the 33rd Annual {ACM} Symposium on Applied Computing, {SAC} 2018, Pau, France
EditorsHisham M. Haddad , Roger L. Wainwright , Richard Chbeir
Place of PublicationNew York
Publisheracm
Pages1629-1636
Number of pages8
DOIs
Publication statusPublished - 13 Apr 2018
Event33rd Annual {ACM} Symposium on Applied Computing, {SAC} - Pau, France
Duration: 9 Apr 201813 Apr 2018

Conference

Conference33rd Annual {ACM} Symposium on Applied Computing, {SAC}
CountryFrance
CityPau
Period9/04/1813/04/18

Cite this

van Roosmalen, J., Vranken, H. P. E., & van Eekelen, M. C. J. D. (2018). Applying deep learning on packet flows for botnet detection: Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing. In H. M. Haddad , R. L. Wainwright , & R. Chbeir (Eds.), Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing, {SAC} 2018, Pau, France (pp. 1629-1636). New York: acm. https://doi.org/10.1145/3167132
van Roosmalen, Jos ; Vranken, H.P.E. ; van Eekelen, M.C.J.D. / Applying deep learning on packet flows for botnet detection : Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing. Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing, {SAC} 2018, Pau, France. editor / Hisham M. Haddad ; Roger L. Wainwright ; Richard Chbeir . New York : acm, 2018. pp. 1629-1636
@inproceedings{2b8106f626404165bd95b02b434bd834,
title = "Applying deep learning on packet flows for botnet detection: Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing",
author = "{van Roosmalen}, Jos and H.P.E. Vranken and {van Eekelen}, M.C.J.D.",
year = "2018",
month = "4",
day = "13",
doi = "10.1145/3167132",
language = "English",
pages = "1629--1636",
editor = "{ Haddad }, {Hisham M.} and {Wainwright }, { Roger L.} and {Chbeir }, Richard",
booktitle = "Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing, {SAC} 2018, Pau, France",
publisher = "acm",

}

van Roosmalen, J, Vranken, HPE & van Eekelen, MCJD 2018, Applying deep learning on packet flows for botnet detection: Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing. in HM Haddad , RL Wainwright & R Chbeir (eds), Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing, {SAC} 2018, Pau, France. acm, New York, pp. 1629-1636, 33rd Annual {ACM} Symposium on Applied Computing, {SAC}, Pau, France, 9/04/18. https://doi.org/10.1145/3167132

Applying deep learning on packet flows for botnet detection : Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing. / van Roosmalen, Jos; Vranken, H.P.E.; van Eekelen, M.C.J.D.

Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing, {SAC} 2018, Pau, France. ed. / Hisham M. Haddad ; Roger L. Wainwright ; Richard Chbeir . New York : acm, 2018. p. 1629-1636.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

TY - GEN

T1 - Applying deep learning on packet flows for botnet detection

T2 - Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing

AU - van Roosmalen, Jos

AU - Vranken, H.P.E.

AU - van Eekelen, M.C.J.D.

PY - 2018/4/13

Y1 - 2018/4/13

U2 - 10.1145/3167132

DO - 10.1145/3167132

M3 - Conference article in proceeding

SP - 1629

EP - 1636

BT - Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing, {SAC} 2018, Pau, France

A2 - Haddad , Hisham M.

A2 - Wainwright , Roger L.

A2 - Chbeir , Richard

PB - acm

CY - New York

ER -

van Roosmalen J, Vranken HPE, van Eekelen MCJD. Applying deep learning on packet flows for botnet detection: Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing. In Haddad HM, Wainwright RL, Chbeir R, editors, Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing, {SAC} 2018, Pau, France. New York: acm. 2018. p. 1629-1636 https://doi.org/10.1145/3167132