SECUREVENT: Hybrid AI/ML Security Monitoring for Distributed Event-Based Systems
Distributed event-based systems have become a common substrate for Internet-scale publish/subscribe services, IoT telemetry, cloud-native microservices, and security operations pipelines. Their loose coupling and asynchronous delivery improve scalability, but they also expand the attack surface: publishers, brokers, subscribers, topics, schemas, and temporal ordering can each be abused without a single component observing the whole behavior. This paper proposes SECUREVENT, a hybrid AI/ML security-monitoring architecture for distributed event-based systems. The architecture combines traditional protections such as authenticated transport, topic-level authorization, and signed events with o...
| Authors | Eric Liang |
|---|---|
| Primary category | cs.CR |
| Published | 1 June 2026 |
| Last updated at source | 1 June 2026 |
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