Name
Abstract | ||
|---|---|---|
Smart Grid is a new type of energy-based cyber-physical system (CPS) that will provide reliable, secure, and efficient energy transmission and distribution. The way to secure the distributed energy routing process that efficiently utilizes the distributed energy resources and minimizes the energy transmission overhead is essential in smart grid. In this paper, we study the vulnerability of the distributed energy routing process and investigate novel false data injection attacks against the energy routing process. We consider several general attacks, in which the adversary may manipulate the quantity of energy supply, the quantity of energy response, and the link state of energy transmission. The forged data injected by those attacks will cause imbalanced demand and supply, increase the cost for energy distribution, and disrupt the energy distribution. We formally model these attacks and quantitatively analyze their impact on energy distribution. Our evaluation data show that those attacks can effectively disrupt the effectiveness of energy distribution process, causing significant supplied energy loss, energy transmission cost and the number of outage users. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICCPS.2012.26 | ICCPS |
Keywords | Field | DocType |
energy loss,distributed energy routing,energy transmission,efficient energy transmission,smart grid,energy transmission reliability,energy distribution process,power system security,energy routing,energy resource,energy-based cyber-physical system,energy transmission overhead,false data injection attacks,cps,energy resources,power system reliability,energy transmission cost,energy distribution,smart power grids,distributed energy resources,energy response,energy supply,distributed energy routing process,demand and supply,smart grids,distributed databases,distributed database,cyber physical systems,routing,neodymium | Link-state routing protocol,Smart grid,Efficient energy use,Computer science,Electric power transmission,Real-time computing,Cyber-physical system,Distributed generation,Energy supply,Distributed database,Distributed computing | Conference |
ISSN | ISBN | Citations |
2375-8317 | 978-1-4673-1537-1 | 46 |
PageRank | References | Authors |
1.98 | 12 | 5 |