2014/10/19 by Jairo Giraldo, Giraldo, Jairo, Álvaro A. Cárdenas +3
Computer Science · Engineering · #Electricity Theft Detection Techniques #FOS: Electrical engineering #Internet Traffic Analysis and Secure E-voting #Smart Grid Security and Resilience #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1410.5111
openalex publication_date 2014/10/19 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
The vulnerability of false data injection attacks on real-time electricity\npricing for the power grid market has been recently explored. Previous work has\nfocused on the impact caused by attackers that compromise pricing signals and\nsend false prices to a subset of consumers. In this paper we extend previous\nwork by considering a more powerful and general adversary model, a new analysis\nmethod based on sensitivity functions, and by proposing several countermeasures\nthat can mitigate the negative impact of these attacks. Countermeasures include\nadding a low-pass filter to the pricing signals, selecting the time interval\nbetween price updates, selecting parameters of the controller, designing robust\ncontrol algorithms, and by detecting anomalies in the behavior of the system.\n