Logging is a common practice in software engineering to provide insights into working
systems. The main uses of log files have always been failure identification and root cause …

Association rules are commonly used to provide decision‐makers with knowledge that helps
them to make good decisions. Most of the published proposals mine association rules …

Abstract Machine learning (ML) utilisation has achieved a vast global impact. This is evident
in the cybersecurity sector, where ML has wide-ranging applications, such as identifying and …

Object-centric processes (also known as Artifact-centric processes) are implementations of a
paradigm where an instance of one process is not executed in isolation but interacts with …

The discovery of event patterns from multivariate time series is important to academics and
practitioners. In particular, we consider the event patterns related to anomalies such as …

Abstract Semantics-aware anomaly detection based on log has attracted much attention.
However, the existing methods based on the weighted aggregation of all word vectors might …

Event logs are a powerful source of digital evidence as they contain detailed information
about activities performed on a computer. Forensic investigation of the event logs is a …

Traditional association rule mining algorithms can have a long runtime, high memory
consumption, and generate a huge number of rules. Browsing through numerous rules and …

In this article, an unsupervised IDS (Intrusion Detection System) is presented for the
detection of zero-day DDoS (Distributed Denial of Service) attacks for IoT (Internet of Things) …

Security logs in cloud environment like intrusion detection system (IDS) logs, firewall logs,
and system logs provide historical information describing potential security risks. However …