DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification

Gonzalo Marin; Pedro Casas-Hernandez; Germán Capdehourat

DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification

Gonzalo Marin, Pedro Casas-Hernandez (Speaker), Germán Capdehourat

Data Science & Artifical Intelligence

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation

Original language	English
Title of host publication	Data Science - Analytics and Applications, Proceedings of the 3rd International Data Science Conference - iDSC2020
Editors	Peter Haber, Thomas Lampoltshammer, Manfred Mayr, Kathrin Plankensteiner
Publisher	Springer Nature
Pages	1-9
Number of pages	9
ISBN (Print)	978-3-658-35703-6
Publication status	Published - 2020
Event	3rd International Data Science Conference (IDSC) 2020 - Duration: 13 May 2020 → …

Other

Other	3rd International Data Science Conference (IDSC) 2020
Period	13/05/20 → …

Research Field

Former Research Field - Data Science

Cite this

Marin, Gonzalo ; Casas-Hernandez, Pedro ; Capdehourat, Germán. / DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification. Data Science - Analytics and Applications, Proceedings of the 3rd International Data Science Conference - iDSC2020. editor / Peter Haber ; Thomas Lampoltshammer ; Manfred Mayr ; Kathrin Plankensteiner. Springer Nature, 2020. pp. 1-9

@inproceedings{d510fc846e1944c5884434d19b307921,

title = "DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification",

author = "Gonzalo Marin and Pedro Casas-Hernandez and Germ{\'a}n Capdehourat",

year = "2020",

language = "English",

isbn = "978-3-658-35703-6",

pages = "1--9",

editor = "Peter Haber and Thomas Lampoltshammer and Manfred Mayr and Kathrin Plankensteiner",

booktitle = "Data Science - Analytics and Applications, Proceedings of the 3rd International Data Science Conference - iDSC2020",

publisher = "Springer Nature",

address = "United States",

note = "3rd International Data Science Conference (IDSC) 2020 ; Conference date: 13-05-2020",

}

Marin, G, Casas-Hernandez, P & Capdehourat, G 2020, DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification. in P Haber, T Lampoltshammer, M Mayr & K Plankensteiner (eds), Data Science - Analytics and Applications, Proceedings of the 3rd International Data Science Conference - iDSC2020. Springer Nature, pp. 1-9, 3rd International Data Science Conference (IDSC) 2020, 13/05/20.

DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification. / Marin, Gonzalo; Casas-Hernandez, Pedro (Speaker); Capdehourat, Germán.
Data Science - Analytics and Applications, Proceedings of the 3rd International Data Science Conference - iDSC2020. ed. / Peter Haber; Thomas Lampoltshammer; Manfred Mayr; Kathrin Plankensteiner. Springer Nature, 2020. p. 1-9.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation

TY - GEN

T1 - DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification

AU - Marin, Gonzalo

AU - Capdehourat, Germán

A2 - Casas-Hernandez, Pedro

A2 - Haber, Peter

A2 - Lampoltshammer, Thomas

A2 - Mayr, Manfred

A2 - Plankensteiner, Kathrin

PY - 2020

Y1 - 2020

M3 - Conference Proceedings with Oral Presentation

SN - 978-3-658-35703-6

SP - 1

EP - 9

BT - Data Science - Analytics and Applications, Proceedings of the 3rd International Data Science Conference - iDSC2020

PB - Springer Nature

T2 - 3rd International Data Science Conference (IDSC) 2020

Y2 - 13 May 2020

ER -