VU SoS Lablet Quarterly Executive Summary - July 2018
A. Fundamental Research
The Science of Security for Cyber-Physical Systems (CPS) Lablet focuses on (1) Foundations of CPS Resilience, (2) Analytics for CPS Cybersecurity and (3) Development of a Multi-model Testbed for Simulation–based Evaluation of Resilience.
- We introduced a framework for improving resilience by integrating redundancy, diversity, and hardening methods. The approach has been used for resilient control of an autonomous vehicle by integrating moving target defense and control reconfiguration and resilient distributed multi-task estimation.
- The main accomplishment in the area of analytics for CPS cybersecurity is defining and selecting the eco-system of policy documents that will be used in the investigation. The documents cover (a) generic directives pertaining to large scale domain independent critical infrastructure and (b) specific documents related to smart grid.
- The development of the multi-model testbed focused on the initial infrastructure and the architectural elements required for simulation-based evaluation of resilience for complex CPS such as connected vehicles. Specific elements include integration simulation capabilities, programmable attack and mitigation strategies, and interactive collaborative services for simulation execution.
B. Community Engagement(s)
Participated in the 2018 National Tennessee Valley Corridor Summit held in Oak Ridge, TN on May 29-31, 2018 to present the research efforts of the Lablet.
C. Educational Advances
Organized two summer camps on Cyber-Physical Systems security for high school students. The curriculum is based on RoboScape, a collaborative network robotics environment which aims at making key ideas in CPS security accessible to high school students.
Groups:
- Architectures
- Modeling
- Resilient Systems
- Simulation
- Approved by NSA
- Metrics
- Policy-Governed Secure Collaboration
- Resilient Architectures
- VU
- Analytics for Cyber-Physical System Cybersecurity
- Foundations of a CPS Resilience
- Multi-model Test Bed for the Simulation-based Evaluation of Resilience
- 2018: July