Data-Driven and Low-Sparsity False Data Injection Attacks in Smart Grid
نویسندگان
چکیده
منابع مشابه
False 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 کاملDistributed host-based collaborative detection for false data injection attacks in smart grid cyber-physical system
False data injection (FDI) attacks are a crucial security threat to smart grid cyber-physical system (CPS), and could result in cataclysmic consequences to the entire power system. However, due to the high dependence on open information networking, countering FDI attacks is challenging in smart grid CPS. Most existing solutions are based on state estimation (SE) at the highly centralized contro...
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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 کاملModeling and performance evaluation of stealthy false data injection attacks on smart grid in the presence of corrupted measurements
The false data injection (FDI) attack cannot be detected by the traditional anomaly detection techniques used in the energy system state estimators. In this paper, we demonstrate how FDI attacks can be constructed blindly, i.e., without system knowledge; including topological connectivity and line reactance information. Our analysis reveal that existing FDI attacks become detectable (consequent...
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ژورنال
عنوان ژورنال: Security and Communication Networks
سال: 2018
ISSN: 1939-0114,1939-0122
DOI: 10.1155/2018/8045909