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Smart Log Data Analytics: Techniques for Advanced Security Analysis

1st Edition 2021, 2021

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Deep learning for anomaly detection in log data: A survey

Machine learning with applications, 2023-06, Vol.12, p.100470, Article 100470

2023

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Anomaly detection in log-event sequences: A federated deep learning approach and open challenges

Machine learning with applications, 2024-06, Vol.16, p.100554, Article 100554

2024

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System log clustering approaches for cyber security applications: A survey

Computers & security, 2020-05, Vol.92, p.101739-17, Article 101739

2020

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Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection

Computers & security, 2018-11, Vol.79, p.94-116

2018

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

Computers & security, 2024-02, Vol.137, p.103631, Article 103631

2024

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A logging maturity and decision model for the selection of intrusion detection cyber security solutions

Computers & security, 2024-06, Vol.141, p.103844, Article 103844

2024

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Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed

IEEE transactions on reliability, 2021-03, Vol.70 (1), p.402-415

2021

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A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction

International journal of information security, 2025-02, Vol.24 (1), p.3, Article 3

2025

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A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques

Proceedings of the ACM on software engineering, 2024-07, Vol.1 (FSE), p.1354-1375

2024

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Maintainable Log Datasets for Evaluation of Intrusion Detection Systems

IEEE transactions on dependable and secure computing, 2023-07, Vol.20 (4), p.3466-3482

2023

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Behavior-Based Anomaly Detection in Log Data of Physical Access Control Systems

IEEE transactions on dependable and secure computing, 2023-07, Vol.20 (4), p.3158-3175

2023

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Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation

ACM transactions on privacy and security, 2022-08, Vol.25 (3), p.1-36, Article 18

2022

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AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection

Digital threats (Print), 2023-03, Vol.4 (1), p.1-16, Article 12

2023

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Iterative Selection of Categorical Variables for Log Data Anomaly Detection

Computer Security – ESORICS 2021, 2021, p.757-777

2021

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synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems

Journal of information security and applications, 2020-10, Vol.54, p.102544, Article 102544

2020

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Introducing a New Alert Data Set for Multi-Step Attack Analysis

Proceedings of the 17th Cyber Security Experimentation and Test Workshop, 2024, p.41-53

2024

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Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection

Information Security Practice and Experience, 2018, Vol.11125, p.19-36

2018

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Towards Detecting Anomalies in Log-Event Sequences with Deep Learning: Open Research Challenges

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023, p.71-77

2023

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A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing

2022 IEEE International Conference on Big Data (Big Data), 2022, p.4285-4294

2022

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On the Application of Natural Language Processing for Advanced OSINT Analysis in Cyber Defence

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024, p.1-10

2024

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Strategic selection of data sources for cyber attack detection in enterprise networks: a survey and approach

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2022, p.1656-1665

2022

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A Framework for Cyber Threat Intelligence Extraction from Raw Log Data

2019 IEEE International Conference on Big Data (Big Data), 2019, p.3200-3209

2019

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A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation

Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, 2022, p.77-86

2022

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Creating Character-based Templates for Log Data to Enable Security Event Classification

Proceedings of the 15th ACM Asia Conference on Computer and Communications Security, 2020, p.141-152

2020

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Smart Log Data Analytics: Techniques for Advanced Security Analysis

Deep learning for anomaly detection in log data: A survey

Anomaly detection in log-event sequences: A federated deep learning approach and open challenges

System log clustering approaches for cyber security applications: A survey

Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection

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

A logging maturity and decision model for the selection of intrusion detection cyber security solutions

Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed

A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction

A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques

Maintainable Log Datasets for Evaluation of Intrusion Detection Systems

Behavior-Based Anomaly Detection in Log Data of Physical Access Control Systems

Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation

AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection

Iterative Selection of Categorical Variables for Log Data Anomaly Detection

synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems

Introducing a New Alert Data Set for Multi-Step Attack Analysis

Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection

Towards Detecting Anomalies in Log-Event Sequences with Deep Learning: Open Research Challenges

A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing

On the Application of Natural Language Processing for Advanced OSINT Analysis in Cyber Defence

Strategic selection of data sources for cyber attack detection in enterprise networks: a survey and approach

A Framework for Cyber Threat Intelligence Extraction from Raw Log Data

A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation

Creating Character-based Templates for Log Data to Enable Security Event Classification

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