Developing Security Science from Measurements
This project aims to define foundational data-driven methodologies and related science to identify the basis for continuous and dynamic monitoring and placing of detectors, making it possible to enable adaptive approaches to mitigation and containment of the spread of attacks. This will be achieved in the presence of changes in the underlying infrastructure as well as growing sophistication of attackers.
Hard Problem Addressed
- Security-Metrics-Driven Evaluation, Design, Development and Deployment
- Hui Lin, Ada Slagell, Catello Di Martino, Zbigniew Kalbarczyk, and Ravishankar K. Iyer, “Adapting Bro into SCADA: Building a Specification-based Intrusion Detection System for the DNP3 Protocol”, Eighth Annual Cyber Security and Information Intelligence Research Workshop (CSIIRW 2013), Oak Ridge, TN, January 8-10, 2013. [full text]
- Hui Lin, Adam Slagell, Zbigniew Kalbarczyk, Peter W. Sauer, and Ravishankar K. Iyer, “Semantic Security Analysis of SCADA Networks to Detect Malicious Control Commands in Power Grids”, First ACM Workshop on Smart Energy Grid Security (SEGS 2013), Berlin, Germany, November 8, 2013. [full text]
- Phuong Cao, Key-whan Chung, Adam J. Slagell, Zbigniew Kalbarczyk, Ravishankar Iyer, “Preemptive Intrusion Detection”, poster, Symposium and Bootcamp on the Science of Security (HotSoS 2014), Raleigh, NC, April 8-9, 2014. [abstract] [poster]
- Phuong Cao, Hongyang Li, Adam J. Slagell, Klara Nahrstedt, Zbigniew Kalbarczyk, and Ravishankar Iyer, “Personalized Password Guessing: A New Security Threat”, poster, Symposium and Bootcamp on the Science of Security (HotSoS 2014), Raleigh, NC, April 8-9, 2014. [abstract] [poster]