Real-Time Threat Detection in Distributed Cloud Microservices via Neural Telemetry Streaming
This paper explores lightweight streaming architectures for real-time anomaly detection across containerized microservices. Proposes a multi-stage classification pipeline that reduces false positives by 38% under high-frequency load.
Status: Published & Indexed
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