受强制性开放获取政策约束的文章 - Max Landauer了解详情
可在其他位置公开访问的文章：21 篇
System log clustering approaches for cyber security applications: A survey
M Landauer, F Skopik, M Wurzenberger, A Rauber
Computers & Security 92, 101739, 2020
强制性开放获取政策： European Commission
Deep learning for anomaly detection in log data: A survey
M Landauer, S Onder, F Skopik, M Wurzenberger
Machine Learning with Applications 12, 100470, 2023
强制性开放获取政策： European Commission
Have it your way: Generating customized log datasets with a model-driven simulation testbed
M Landauer, F Skopik, M Wurzenberger, W Hotwagner, A Rauber
IEEE Transactions on Reliability 70 (1), 402-415, 2020
强制性开放获取政策： European Commission
A framework for cyber threat intelligence extraction from raw log data
M Landauer, F Skopik, M Wurzenberger, W Hotwagner, A Rauber
2019 IEEE International Conference on Big Data (Big Data), 3200-3209, 2019
强制性开放获取政策： European Commission
Dealing with security alert flooding: using machine learning for domain-independent alert aggregation
M Landauer, F Skopik, M Wurzenberger, A Rauber
ACM Transactions on Privacy and Security 25 (3), 1-36, 2022
强制性开放获取政策： European Commission
A critical review of common log data sets used for evaluation of sequence-based anomaly detection techniques
M Landauer, F Skopik, M Wurzenberger
Proceedings of the ACM on Software Engineering 1 (FSE), 1354-1375, 2024
强制性开放获取政策： European Commission
Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security
M Wurzenberger, G Höld, M Landauer, F Skopik
Computers & Security 137, 103631, 2024
强制性开放获取政策： European Commission
Aminer: A modular log data analysis pipeline for anomaly-based intrusion detection
M Landauer, M Wurzenberger, F Skopik, W Hotwagner, G Höld
Digital Threats: Research and Practice 4 (1), 1-16, 2023
强制性开放获取政策： European Commission
A framework for automatic labeling of log datasets from model-driven testbeds for HIDS evaluation
M Landauer, M Frank, F Skopik, W Hotwagner, M Wurzenberger, ...
Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber …, 2022
强制性开放获取政策： European Commission
Online log data analysis with efficient machine learning: A review
F Skopik, M Landauer, M Wurzenberger
IEEE Security & Privacy 20 (3), 80-90, 2021
强制性开放获取政策： European Commission
Blind spots of security monitoring in enterprise infrastructures: a survey
F Skopik, M Landauer, M Wurzenberger
IEEE Security & Privacy 20 (6), 18-26, 2022
强制性开放获取政策： European Commission
Creating character-based templates for log data to enable security event classification
M Wurzenberger, G Höld, M Landauer, F Skopik, W Kastner
Proceedings of the 15th ACM Asia Conference on Computer and Communications …, 2020
强制性开放获取政策： European Commission
Iterative selection of categorical variables for log data anomaly detection
M Landauer, G Höld, M Wurzenberger, F Skopik, A Rauber
Computer Security–ESORICS 2021: 26th European Symposium on Research in …, 2021
强制性开放获取政策： European Commission
The seven golden principles of effective anomaly-based intrusion detection
F Skopik, M Wurzenberger, M Landauer
IEEE Security & Privacy 19 (5), 36-45, 2021
强制性开放获取政策： European Commission
Towards detecting anomalies in log-event sequences with deep learning: open research challenges
P Himler, M Landauer, F Skopik, M Wurzenberger
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference …, 2023
强制性开放获取政策： European Commission
Introducing a new alert data set for multi-step attack analysis
M Landauer, F Skopik, M Wurzenberger
Proceedings of the 17th Cyber Security Experimentation and Test Workshop, 41-53, 2024
强制性开放获取政策： European Commission
Visualizing Syscalls using Self-organizing Maps for System Intrusion Detection.
M Landauer, F Skopik, M Wurzenberger, W Hotwagner, A Rauber
ICISSP, 349-360, 2020
强制性开放获取政策： European Commission
Detecting unknown cyber security attacks through system behavior analysis
F Skopik, M Wurzenberger, M Landauer
Cybersecurity of Digital Service Chains: Challenges, Methodologies, and …, 2022
强制性开放获取政策： European Commission
On the Application of Natural Language Processing for Advanced OSINT Analysis in Cyber Defence
F Skopik, B Akhras, E Woisetschläger, M Andresel, M Wurzenberger, ...
Proceedings of the 19th International Conference on Availability …, 2024
强制性开放获取政策： European Commission
Anomaly detection in log-event sequences: A federated deep learning approach and open challenges
P Himler, M Landauer, F Skopik, M Wurzenberger
Machine Learning with Applications 16, 100554, 2024
强制性开放获取政策： European Commission
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