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 …

Anomaly detection is a critical issue across several academic fields and real-world
applications. Artificial neural networks have been proposed to detect anomalies from …

Detecting anomalous events in online computer systems is crucial to protect the systems
from malicious attacks or malfunctions. System logs, which record detailed information of …

Anomalies are rare and anomaly detection is often therefore framed as One-Class
Classification (OCC), ie trained solely on normalcy. Leading OCC techniques constrain the …

Detecting anomalies in dynamic graphs is a vital task, with numerous practical applications
in areas such as security, finance, and social media. Existing network embedding based …

Abstract Information systems need to process a large amount of event monitoring data. The
process of finding the relationships between events is called correlation, which creates a …

With the implementation of online-service information systems, it is important to detect
system anomalies. Logs, serving as the system runtime information, are the key resources to …

Anomaly events indicating the unhealthy status of the computer system are recorded in the
system log (Syslog). Therefore, Syslog-based anomaly event detection is crucial for …

It is critical and important to detect anomalies in event sequences, which becomes widely
available in many application domains. Indeed, various efforts have been made to capture …

Video anomaly detection deals with the recognition of abnormal events in videos. Apart from
the visual signal, video anomaly detection has also been addressed with skeleton …