Cyber security of the smart grid: Attack exposure analysis, detection algorithms, and testbed evaluation

摘要: While smart grid technologies are deployed to help achieve improved resiliency and efficiency, they also present an increased dependency on cyber resources which may be vulnerable attack. This dissertation introduces three components that provide new methods enhancing the security of grid. First, a quantitative exposure analysis model is presented assess risks inherited from communication computation critical information. An attack metric then means analyze model. The metric's utility demonstrated by analyzing environments contrast effectiveness various protection mechanisms evaluate impact vulnerabilities. Second, model-based intrusion detection system introduced identify attacks against electric substations. expands previous research incorporate temporal spatial substation control events in order differentiate normal communications. method incorporates hierarchical approach improve correlation physical sophisticated coordinated attacks. Finally, PowerCyber testbed as accurate cyber-physical environment facilitate future needs. implements layered control, communication, power layers while incorporating both industry standard along with simulation emulation techniques. testbed's efficacy evaluated performing exploring their simulations.