Author_Institution :
Sch. of Comput. Sci. & Eng., Chung-Ang Univ., Seoul, South Korea
Abstract :
Smart grid uses intelligent transmission and distribution networks to deliver electricity. It aims to improve the electric system´s reliability, security, and efficiency through two-way communication of consumption data and dynamic optimization of electric-system operations, maintenance, and planning. The smart grid systems use fine-grained power grid measurements to provide increased grid stability and reliability. Key to achieving this is securely sharing the measurements among grid entities over wide area networks. Typically, such sharing follows policies that depend on data generator and consumer preferences and on time-sensitive contexts. In smart grid, as well as the data, policies for sharing the data may be sensitive because they directly contain sensitive information, and reveal information about underlying data protected by the policy, or about the data owner or recipients. In this study, we propose an attribute-based data sharing scheme in smart grid. Not only the data but also the access policies are obfuscated in grid operators´ point of view during the data sharing process. Thus, the data privacy and policy privacy are preserved in the proposed scheme. The access policy can be expressed with any arbitrary access formula. Thus, the expressiveness of the policy is enhanced. The security is also improved such that the unauthorized key generation center or the grid manage systems that store the data cannot decrypt the data to be shared. The computation overhead of recipients are also reduced by delegating most of the laborious decryption operations to the more powerful grid manage systems.
Keywords :
cryptography; data privacy; power distribution planning; power distribution reliability; power engineering computing; power system measurement; power system stability; smart power grids; access policy; attribute-based secure data sharing; consumer preferences; consumption data; data generator; data owner; data privacy; data recipients; decryption operations; distribution networks; dynamic optimization; electric system efficiency; electric system reliability; electric system security; electric-system maintenance; electric-system operations; electric-system planning; electricity delivery; fine-grained power grid measurements; grid manage systems; grid reliability; grid stability; hidden policies; intelligent transmission networks; policy privacy; smart grid systems; time-sensitive contexts; unauthorized key generation center; Data privacy; Encryption; Generators; Receivers; Smart grids; Smart grid; policy-based data sharing; privacy; security;