A two-layer GCN on 21,438 request-level invocation graphs from a Docker-based microservice benchmark reaches 96.2% accuracy under random split but is outperformed by non-graph baselines under stricter trial-level splits.
Servicerank: Root cause identification of anomaly in large-scale microservice architectures.IEEE Transactions on Dependable and Secure Computing, 19 (5):3087–3100, 2022
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Can Graph-Based Microservice Performance Detection Be Used for Microservice Intrusion Detection?
A two-layer GCN on 21,438 request-level invocation graphs from a Docker-based microservice benchmark reaches 96.2% accuracy under random split but is outperformed by non-graph baselines under stricter trial-level splits.