DBOS Advanced Network Analysis Capability for Collaborative Awareness
Name
lockton-slockton-meng-eecs-2025-thesis.pdf
Description
Thesis PDF
Size
5.64 MB
Format
Adobe PDF
Checksum (MD5)
d55a9123e95057702543d312e0a0d131
Author(s)
Lockton, Sophia E.
Advisor(s)
Kepner, Jeremy
Date Issued
May 2025
Publisher
Massachusetts Institute of Technology
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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