Detection and Prevention of False Data Injection Attack in Cyber Physical Power System

Abstract

In the current generation power system need to be more advanced and due to the various efforts power system has made a lot of advancements in the measurements, computer and communication networks. Safety has also become the most important for the Power System. Successful False Data Injection Attack (FDIA) involves an attacker compromising power system measurement such that undetected mistakes are included in state variable calculation. FDIAs may significantly harm security by skipping detection via widely used residue-based bad data identification techniques. Study on FDIA-based cyber-attacks has indeed been widespread since the first FDIA research was published in 2009[8].CPS (Cyber Power System) is a very new form of designed system imported into a dynamic environment into computing and physical processes. CPS is helpful in technological fields like cybernetics, mechatronics, design, and built-in systems, the Internet of Things (IOT), big data, artificial intelligence (AI) and much more False Data Injection Attack (FDIA) this is termed as Fake Data Injection Attack when compromised measures create events that do not exist. How can these False Data Injection Attacks be identified It indicates that we observe whether request is coming from real users or from fraudulent users will verify if they match in our central database it will allow that request if does not match it will block that request. The project provides a summary of the theoretical foundations for Cyber-Physical Power System FDIAs with Cyber Power System FDIA Identifications.