Title :
Modeling security policies for mitigating the risk of load altering attacks on smart grid systems
Author :
Ryutov, Tatyana ; Almajali, Anas ; Neuman, Clifford
Author_Institution :
USC Inf. Sci. Inst. Marina del Rey, Marina, CA, USA
Abstract :
While demand response programs achieve energy efficiency and quality objectives, they bring potential security threats into the Smart Grid. An ability to influence load in the system provides the capability for an attacker to cause system failures and impacts the quality and integrity of the power delivered to customers. This paper presents a security mechanism that monitors and controls load according to security policies during normal system operation. The mechanism monitors, detects, and responds to load altering attacks. The authors examined security requirements of Smart Grid stakeholders and constructed a set of load control policies enforced by the mechanism. A proof of concept prototype was implemented and tested using the simulation environment. By enforcing the proposed policies in this prototype, the system is maintained in a safe state in the presence of load drop attacks.
Keywords :
power system security; risk management; smart power grids; demand response programs; load altering attacks; load drop attacks; risk mitigation; security policies modeling; smart grid stakeholders; smart grid systems; Load flow control; Load modeling; Power quality; Safety; Security; Servers; Smart grids; cyber-physical; smart grid; security policy;simulation;
Conference_Titel :
Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), 2015 Workshop on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4799-7357-6
DOI :
10.1109/MSCPES.2015.7115393