Research On Multidimensional Data Aggregation Schemes In Smart Grid

Smart grid strengthens the mutual information between the various entities,but the user's electricity information is related to personal privacy and security,how to safely and efficiently transmit information in smart grid is the focus of current research,so the data aggregation technology is widely applied to smart grid.Data aggregation technology uses mostly is the Paillier homomorphic encryption algorithm,it can not only solve the above mentioned problems but also ensure the confidentiality of user information,and greatly reduce the communication overhead.But most existing schemes are only for single data aggregation,while user's electricity information in smart gird is various.So solving the aggregation of different types of consumption data will be more practical.To solve the above problems,this paper proposes a multidimensional data aggregation scheme in smart grid,improves the Paillier homomorphic encryption algorithm for multidimensional data encryption and combines it with blind factor technology.So that the attacker cannot decrypt user's individual information correctly even he obtains the decryption key.And we design the digital signature which can use efficient batch verification.In this way,we can reduce the number of bilinear operation from 2n to 2,where n represents the number of users.We give the security analysis and performance analysis with the proposed scheme and prove that the scheme is secure.And the scheme is greatly improved compared with the previous schemes in computation and communication overhead.Considering that the multilevel network model is more suitable for practical application,this paper improves the above scheme and proposes a multidimensional data aggregation scheme in multilevel network in smart grid.In the past,most of the schemes are one-level gateway model.The polymerization size is too single.So the multilevel network model is more practical.What's more,the scheme can achieve fault tolerance and traceability.Fault tolerance refers to when some users' smart meters failed to work;this will not affect other users' electricity information collection.Traceability refers to when the batch verification is not passed;we can quickly find the users corresponding to invalid signatures.These increase the security properties of the scheme.At the same time,we extend the scheme to a single user electricity tariff calculation scheme and an improved scheme including the users' addition and exit.We also prove the security of the scheme,and compare the performances with the previous schemes to explain that our scheme is more efficient.