Power Data Privacy Calculation Based on CKKS Fully Homomorphic Encryption
State Grid Corporation of China has proposed to improve the digitalization level of the power grid,accelerate the circulation of data elements,build an energy digital ecosystem,and support innovation in various smart energy products and businesses.However,the security and privacy of data is a major obstacle to data opening and data trading,which must be tackled in order to support the digital transformation strategy of the State Grid.Therefore,based on CKKS fully homomorphic encryption,this paper proposes and implements an analysis framework for power data privacy computing that includes three major participants,i.e.,data providers,service providers,researchers or business users.The results of simulation-based methods prove the security of the above scheme.Then the paper analyzes the space-time complexity of CKKS-based privacy computing,and performs error analysis using load curve clustering as a typical applicative scenario,which demonstrate the practicality of the proposed framework.
CKKSfully homomorphic encryptionprivacy computingelectricity consumption data
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