Mitigating Concurrent False Data Injection Attacks in Cooperative DC Microgrids
نویسندگان
چکیده
Limited global information in dc microgrids with distributed cooperative control makes them vulnerable to cyber attacks, which can lead their destabilization and shut down. Here, we discuss a novel false data injection attack (FDIA) model, termed as the concurrent attack, that compromise local communicated estimated voltages simultaneously. We formalize such an could be disguised conventional FDIA on transmitted communication links (termed link attack), thereby masking presence of rendering corresponding mitigation attempts ineffective. Second, present energy-based detection strategy based intrinsic mode functions obtained using ensemble empirical decomposition method. Further, differentiation criterion voltage correction terms generated from observer is employed help distinguish between attack. An event-driven then used replace attacked signal reconstructed signal. Finally, efficacy proposed resilient scheme demonstrated both simulations experimental results.
منابع مشابه
Detecting False Data Injection Attacks on DC State Estimation
State estimation is an important power system application that is used to estimate the state of the power transmission networks using (usually) a redundant set of sensor measurements and network topology information. Many power system applications such as contingency analysis rely on the output of the state estimator. Until recently it was assumed that the techniques used to detect and identify...
متن کاملFalse Data Injection Attacks in Control Systems
This paper analyzes the effects of false data injection attacks on Control System. We assume that the system, equipped with a Kalman filter and LQG controller, is used to monitor and control a discrete linear time invariant Gaussian system. We further assume that the system is equipped with a failure detector. An attacker wishes to destabilize the system by compromising a subset of sensors and ...
متن کاملResilient Configuration of Distribution System versus False Data Injection Attacks Against State Estimation
State estimation is used in power systems to estimate grid variables based on meter measurements. Unfortunately, power grids are vulnerable to cyber-attacks. Reducing cyber-attacks against state estimation is necessary to ensure power system safe and reliable operation. False data injection (FDI) is a type of cyber-attack that tampers with measurements. This paper proposes network reconfigurati...
متن کاملDefending collaborative false data injection attacks in wireless sensor networks
False data filtering is an important issue in wireless sensor networks. In this paper, we consider a new type of false data injection attacks called collaborative false data injection, and propose two schemes to defend such attacks. In collaborative false data injection attacks, multiple compromised nodes collaboratively forge a fake report and inject the report into the network. This type of a...
متن کاملFalse Data Injection Attacks in Smart Grid: Challenges and Solutions
Smart Grid, as an energy-based Cyber-Physical Sys tem (CPS), is a new type of power grid that will provide reliable, secure, and efficient energy transmission and distribution. As the quality of assurance of monitoring data is essential to smart grid, in this talk we will first present two dangerous false data injection attacks, which target the state estimation and energy distribution in smar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Power Electronics
سال: 2021
ISSN: ['1941-0107', '0885-8993']
DOI: https://doi.org/10.1109/tpel.2021.3055215