False data injection attacks against state estimation in electric power grids
Proceedings of the 16th ACM conference on Computer and communications security
Energy theft in the advanced metering infrastructure
CRITIS'09 Proceedings of the 4th international conference on Critical information infrastructures security
Information flow analysis of energy management in a smart grid
SAFECOMP'10 Proceedings of the 29th international conference on Computer safety, reliability, and security
OMAP: One-Way Memory Attestation Protocol for Smart Meters
ISPAW '11 Proceedings of the 2011 IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications Workshops
Impact of integrity attacks on real-time pricing in smart grids
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
Toward smart microgrid with renewable energy: an overview of network design, security, and standards
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
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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.