Most existing large distributed systems have poor observability and cannot use the full
potential of machine learning-based behavior analysis. The system logs, which contain the …

The use of automated methods for log analysis is unavoidable in any large company;
therefore, it has attracted attention from engineers and researchers. As a result, the number …

An IoT device such as a drone is constantly generating log records to store every event that
happens to the drone during a flight. In case the drone encounters a problem or experiences …

Log lines consist of static parts that characterize their structure and enable assignment of
event types, and event parameters, ie, variable parts that provide specific information on …

Modern data mining techniques have been gained importance in recent years. In particular,
anomaly detection algorithms, applied in key sectors of information technology, have been …

The availability of log data recorded by computer-based systems such as operating system
and network logs, makes it possible for the stakeholder to look after the system for …

Conventional anomaly access detection frameworks typically utilize all attribute fields to
collectively embed them into a unified space to detect various types of anomaly accesses …

Log-based anomaly detection is one of the popular research topics in the cybersecurity
domain. Typically, the log event classification target is only separated into two classes …

To meet the high-performance and reliability demands of 5G, the Radio Access Network
(RAN) is moving to a cloud-native architecture. The new microservice architecture promises …

Web scanning is generally a precursor of a malicious cyber-attack chain to discover system
security vulnerabilities. The success or failure of a web attack is generally dependent on the …