Research on Online Aggregation Method of Multi-Dimensional Electricity Big Data Based on Paillier Algorithm
Smart meters,gateways,private key generators and other data in electricity big data have multi-dimensional attributes,and there is a large amount of useless data in the process of data aggregation,which makes the power grid vulnerable to external attacks.Therefore,an online aggregation method of multi-dimensional electricity big data based on Paillier algorithm is proposed.The aggregation protocols are set up for entities such as smart meters,gateways,and private key generators,etc.The conditional probability is combined to randomly perturb the data collected by the aggregation protocol to remove the useless data.Elliptic curves are generated by Paillier encryption algorithm to determine the data security coefficient.After the authorization of the management center,the authentication of the computing center and the uploading of system data,determine whether the current data meets the online aggregation requirements.If it meets the requirements,the data online aggregation is completed by computing signature.The experimental results show that the computation and communication overhead of the proposed method is always kept at a low level,and it is able to aggregate the same type of data with good data aggregation effect.The method can be widely used in the field of big data aggregation.
Paillier algorithmMulti-dimensional electricity big dataOnline aggregationPerturbation processingAggregation protocolData security factor
NETL
NSTL
万方数据
