DBOS Advanced Network Analysis Capability for Collaborative Awareness

Abstract

Collaborative cyber defense is an essential strategy for detecting and mitigating cyber threats [1]. As traditional intrusion detection systems struggle against increasingly sophisticated attacks, we propose embedding collaborative cyber defense directly into system infrastructure. This work presents a novel implementation of collaborative awareness within DBOS (a Database-Oriented Operating System), resulting in a platform that significantly accelerates application development while providing built-in security for transactional web services. By treating security as a first-class operating system service, our approach facilitates real-time comprehensive network observation and analysis without the need for external tools. The implementation supports the construction, aggregation, and analysis of traffic matrices using both Python and PostgreSQL-based workflows. These workflows extract and process IP-level metadata from DBOS applications, enabling multi-instance aggregation and analysis of network data. This integration represents the first instance of collaborative network analysis within an operating system runtime, demonstrating that secure-by-default infrastructure is both feasible and performant.