Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects
IH Sarker - Annals of Data Science, 2023 - Springer
Due to the digitization and Internet of Things revolutions, the present electronic world has a
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …
A survey on automated log analysis for reliability engineering
Logs are semi-structured text generated by logging statements in software source code. In
recent decades, software logs have become imperative in the reliability assurance …
recent decades, software logs have become imperative in the reliability assurance …
[HTML][HTML] Deep learning for anomaly detection in log data: A survey
M Landauer, S Onder, F Skopik… - Machine Learning with …, 2023 - Elsevier
Automatic log file analysis enables early detection of relevant incidents such as system
failures. In particular, self-learning anomaly detection techniques capture patterns in log …
failures. In particular, self-learning anomaly detection techniques capture patterns in log …
Experience report: Deep learning-based system log analysis for anomaly detection
Logs have been an imperative resource to ensure the reliability and continuity of many
software systems, especially large-scale distributed systems. They faithfully record runtime …
software systems, especially large-scale distributed systems. They faithfully record runtime …
[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions toward automation, intelligence and transparent cybersecurity modeling for critical …
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …
and services that are vital for the functioning and well-being of a society, economy, or nation …
System log parsing: A survey
Modern information and communication systems have become increasingly challenging to
manage. The ubiquitous system logs contain plentiful information and are thus widely …
manage. The ubiquitous system logs contain plentiful information and are thus widely …
Toward a sustainable cybersecurity ecosystem
Cybersecurity issues constitute a key concern of today's technology-based economies.
Cybersecurity has become a core need for providing a sustainable and safe society to …
Cybersecurity has become a core need for providing a sustainable and safe society to …
A critical review of common log data sets used for evaluation of sequence-based anomaly detection techniques
Log data store event execution patterns that correspond to underlying workflows of systems
or applications. While most logs are informative, log data also include artifacts that indicate …
or applications. While most logs are informative, log data also include artifacts that indicate …
Log sequence anomaly detection based on local information extraction and globally sparse transformer model
C Zhang, X Wang, H Zhang, H Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Anomaly detection for log sequences is a necessary task for system intelligent operation and
fault diagnosis. In a log sequence, adjacent logs have the property of local correlation, while …
fault diagnosis. In a log sequence, adjacent logs have the property of local correlation, while …