Automated Synthesis Framework For Network Security and Resilience
Lead PI:
Matt Caesar
Co-Pi:
Abstract

We propose to develop the analysis methodology needed to support scientific reasoning about the resilience and security of networks, with a particular focus on network control and information/data flow. The core of this vision is an automated synthesis framework (ASF), which will automatically derive network state and repairs from a set of specified correctness requirements and security policies. ASF consists of a set of techniques for performing and integrating security and resilience analyses applied at different layers (i.e., data forwarding, network control, programming language, and application software) in a real-time and automated fashion. The ASF approach is exciting because developing it adds to the theoretical underpinnings of SoS, while using it supports the practice of SoS.

Matt Caesar
Institution: University of Illinois at Urbana-Champaign
Sponsor: National Security Agency