Research On Privacy-preserving Data Aggregation Scheme In Smart Grid

With the integration of internet of things,cloud computing,big data and other technologies into power system,smart grids have developed rapidly.In smart grids,the smart meter can communicate with the control center through the gateway to realize the real-time power consumption data aggregation.The control center can master the power usage in each area through the aggregated data,and carry on the further analysis and forecast,thus optimize the power dispatching.However,smart grids are faced with the problems of limited computing resources of smart meters and unattended devices,as well as a variety of traditional Internet security threats and new network attacks,such as users' power data during the aggregation process being stolen or destroyed,users' identity information being leaked.Therefore,how to design a secure,efficient and reliable data aggregation scheme is one of the important issues in the research of smart grids.1.Aiming at the problem of power consumption data loss during data aggregation in smart grids,a secure data aggregation scheme for smart grid has been proposed which does not rely on a trusted third party.Many existing schemes rely on a trusted third party.Once any power consumption data is lost,the data aggregation process cannot proceed normally,which does not meet the actual demand of smart grids.In the proposed scheme,data aggregation can be carried out normally when some users' power data are missing,and user identity protection and data confidentiality are also implemented.In this thesis,the security of the proposed scheme has been proved under the random oracle model,and compares the performance with other similar schemes.The simulation results show that the proposed scheme meets the requirements of smart grids in computation overhead and communication overhead.2.Aiming at the problem of multidimensional data aggregation in smart grids,a secure multi-dimensional data-oriented aggregation scheme for smart grid has been proposed.Many existing schemes are aimed at single-dimensional data,but in practical application of smart grids,multi-dimensional data aggregation is needed.The proposed scheme can aggregate multidimensional data and protect user's identity privacy and data privacy.In this thesis,the security of the proposed scheme has been proved under the random oracle model.The simulation results show that the proposed scheme has more advantages than the similar schemes in computation cost and communication cost.