Iterative Selection of Categorical Variables for Log Data Anomaly Detection

Max Landauer; Georg Höld; Markus Wurzenberger; Florian Skopik; Andreas Rauber

doi:10.1007/978-3-030-88418-5

Iterative Selection of Categorical Variables for Log Data Anomaly Detection

Max Landauer (Speaker)
, Georg Höld
, Markus Wurzenberger
, Florian Skopik
, Andreas Rauber

TU Wien

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

Original language	English
Title of host publication	Proceedings of the 26th European Symposium on Research in Computer Security
Publisher	Springer
Pages	757-777
Number of pages	21
ISBN (Print)	978-3-030-88417-8
DOIs	https://doi.org/10.1007/978-3-030-88418-5
Publication status	Published - 2021
Event	26th European Symposium on Research in Computer Security, Darmstadt, Germany, October 4-8, 2021 - Duration: 4 Oct 2021 → 8 Oct 2021

Conference

Conference	26th European Symposium on Research in Computer Security, Darmstadt, Germany, October 4-8, 2021
Period	4/10/21 → 8/10/21

Research Field

Cyber Security

Access to Document

10.1007/978-3-030-88418-5Licence: Unspecified

Cite this

@inproceedings{4d91df5dc8e944209643274221c7870d,

title = "Iterative Selection of Categorical Variables for Log Data Anomaly Detection",

author = "Max Landauer and Georg H{\"o}ld and Markus Wurzenberger and Florian Skopik and Andreas Rauber",

year = "2021",

doi = "10.1007/978-3-030-88418-5",

language = "English",

isbn = "978-3-030-88417-8",

pages = "757--777",

booktitle = "Proceedings of the 26th European Symposium on Research in Computer Security",

publisher = "Springer",

address = "Germany",

note = "26th European Symposium on Research in Computer Security, Darmstadt, Germany, October 4-8, 2021 ; Conference date: 04-10-2021 Through 08-10-2021",

}

Landauer, M, Höld, G, Wurzenberger, M , Skopik, F & Rauber, A 2021, Iterative Selection of Categorical Variables for Log Data Anomaly Detection. in Proceedings of the 26th European Symposium on Research in Computer Security. Springer, pp. 757-777, 26th European Symposium on Research in Computer Security, Darmstadt, Germany, October 4-8, 2021, 4/10/21. https://doi.org/10.1007/978-3-030-88418-5

Iterative Selection of Categorical Variables for Log Data Anomaly Detection. / Landauer, Max (Speaker); Höld, Georg; Wurzenberger, Markus et al.
Proceedings of the 26th European Symposium on Research in Computer Security. Springer, 2021. p. 757-777.

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

TY - GEN

T1 - Iterative Selection of Categorical Variables for Log Data Anomaly Detection

AU - Höld, Georg

AU - Wurzenberger, Markus

AU - Skopik, Florian

AU - Rauber, Andreas

A2 - Landauer, Max

PY - 2021

Y1 - 2021

U2 - 10.1007/978-3-030-88418-5

DO - 10.1007/978-3-030-88418-5

M3 - Conference Proceedings with Oral Presentation

SN - 978-3-030-88417-8

SP - 757

EP - 777

BT - Proceedings of the 26th European Symposium on Research in Computer Security

PB - Springer

T2 - 26th European Symposium on Research in Computer Security, Darmstadt, Germany, October 4-8, 2021

Y2 - 4 October 2021 through 8 October 2021

ER -