Title :
: A Secure Data Sharing Mechanism for Situational Awareness in The Power Grid
Author :
Yue Tong ; Deyton, Jordan ; Jinyuan Sun ; Fangxing Li
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
Abstract :
Power grids are complex systems whose security and reliability depend on the collaboration among all the concerning entities, including peer operators, government authorities, etc. Data sharing in the manner of centralizing the data of peer operators in a common data center is highly desirable and even necessary to the collaboration and, in particular, applications such as global situational awareness in response to critical events. However, due to the concerns about privacy and security of data, the operators are reluctant to outsource their data. Hence, we propose S3A, a mechanism that enables secure and efficient data sharing. The proposed scheme is demonstrated to achieve secure and unlinkable storage as well as fine-grained access control.
Keywords :
authorisation; data communication; data privacy; power grids; power system security; S3A; data center; data privacy; data security; fine-grained access control; government authorities; peer operators; power grid; secure data sharing mechanism; situational awareness; unlinkable storage; Data models; Encryption; Indexes; Power grids; Power system stability; Data sharing; evolving key; power grid; security; situational awareness;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2013.2251016