The Hive Mind: Applying a Distributed Security Sensor Network to GENI.
This project was funded by NSF’s CISE Directorate, and was led by Sean Peisert. The project sought to define and prototype a security layer using a method of intrusion detection based on mobile agents and swarm intelligence. The project’s goal was to provide a lightweight, decentralized, intrusion detection method that is adaptable to changing threats while communicating suspicious activity across hierarchical layers to humans who can respond when needed. The goal was to augment, not replace, more traditional security mechanisms.
More information is available at the UC Davis GENI Hive Mind project web site.
- Detecting Distributed Denial of Service Attacks on Wide-Area Networks
- Toward a Hardware/Software Co-Design Framework for Ensuring the Integrity of Exascale Scientific Data
- Cyber Security of Power Distribution Systems by Detecting Differences Between Real-time Micro-Synchrophasor Measurements and Cyber-Reported SCADA
- A Mathematical and Data-Driven Approach to Intrusion Detection for High-Performance Computing
- Data Enclaves for Scientific Computing