Ai for it operations (aiops) on cloud platforms: Reviews, opportunities and challenges
Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …
Reimagining Anomalies: What If Anomalies Were Normal?
Deep learning-based methods have achieved a breakthrough in image anomaly detection,
but their complexity introduces a considerable challenge to understanding why an instance …
but their complexity introduces a considerable challenge to understanding why an instance …
System for Detecting Anomalies in Information Security Logs
EA Atarskaya, AD Kirillova - … for Industry"(IITI'24), Volume 2, 2024 - books.google.com
The work proposes models and algorithms for detecting anomalies in the functioning of an
information system based on the analysis of information security tools logs using neural …
information system based on the analysis of information security tools logs using neural …
System for Detecting Anomalies in Information Security Logs
AM Vulfin, PS Lozhnikov, AE Sulavko… - … on Intelligent Information …, 2024 - Springer
The work proposes models and algorithms for detecting anomalies in the functioning of an
information system based on the analysis of information security tools logs using neural …
information system based on the analysis of information security tools logs using neural …
Density-Based Outlier Detection: Supervised Approach Based on Virtual Points
O Domanska, V Martsyshyn… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
-Outlier detection plays an important role in a wide variety of domains and has many
applications. The examples are fraud detection, anomaly detection in industrial systems …
applications. The examples are fraud detection, anomaly detection in industrial systems …