Automated Evolution of Softwares Robustness through Patternizing Attack-and-defend Semantic, Structural, and Functional Co-Evolution

Congratulations to S-AISE LAB for winning a grant on Automated Evolution of Software Robustness through Patternizing Attack-and-defense Semantic, Structural, and Functional Co-Evolution from “DoD: Office of Naval Research (ONR), Division of Cyber Security and Complex Software Systems: Basic and Applied Scientific Research”.

This project aims to discover and exploit the existing patterns of co-evolution between vulnerability patches and
follow-up attacks to predict the attack to be followed after a specific fix was applied in the software
artifacts.