A Comprehensive Survey of Graph-based Deep Learning Approaches for Anomaly Detection in Complex Distributed Systems. (arXiv:2206.04149v1 [cs.LG])

Anomaly detection is an important problem for complex distributed systems
consisting of hardware and software components. A thorough understanding of the
requirements and challenges of anomaly detection for such systems is pivotal to
the security of a system, especially for real-world deployment. While there
have been many diverse research areas and application domains that deal with
the problem, few have attempted to provide an in-depth look at such systems.
Most anomaly detection techniques have been specifically developed for certain
application …

anomaly anomaly detection arxiv deep learning detection distributed distributed systems graph graph-based learning lg survey systems