Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security-Reference-Cited by-同舟云学术

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Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security

Published:2024-02 Issue: Volume:137 Page:103631
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Wurzenberger Markus^ORCID,Höld Georg,Landauer Max^ORCID,Skopik Florian^ORCID

Funder

European Defence Fund

European Commission

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference55 articles.

1. Analysis of network log data using machine learning;Allagi,2019

2. A survey on advanced persistent threats: techniques, solutions, challenges, and research opportunities;Alshamrani;IEEE Commun. Surv. Tutor.,2019

3. Anderson-Darling tests of goodness-of-fit;Anderson;Int. Encyclop. Stat. Sci.,2011

4. Endpoint detection & response: a malware identification solution;Arfeen,2021

5. Lr-hids: logistic regression host-based intrusion detection system for cloud environments;Besharati;J. Ambient Intell. Humaniz. Comput.,2019

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