Paper Title
Fuzzing Test based Vulnerability Assessment for Microgrid Systems

Abstract
The proliferation of IoT(Internet of Things) technologies integrate the computational devices into physical objects in the networks, called Cyber-Physical Systems (CPS). Since the priority order of security triad on CPS differs from the Internet, the security assessment would play vital role to support their proper operations against various attacks and vulnerabilities. In this work, we study the way to construct token graph to diagnose the communicational relations among the components of CPS and mutate efficient testing messages in order to design adaptive fuzzer for CPS. The token graph would be helpful to reason the feedback loops on the systems and identify the safety-vulnerabilities under security-vulnerabilities. Keywords: Software Vulnerabilities, Fuzzing, Cyber-Physical System Security