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). acm. https://doi.org/10.1145/3167132