Research On Integrity Audit Of Cloud Data For Ubiquitous Power Internet Of Things

Service provider is honest-but-curious in a cloud data storage mode.Therefore,data owners usually perform static or dynamic integrity audit on cloud data for guaranteeing the integrity of outsourced data.However,in view of the large amount of power data storage requirements and the integrity of cloud data,the current methods proposed by domestic and foreign scholars are not suitable for the integrity audit of cloud power data in the Ubiquitous Power Internet of Things(UPIo T).Therefore,how to establish an efficient and safe power data integrity audit program is of great significance to the safe and stable operation of the power grid.Regarding the static or dynamic integrity audit of cloud power data,this paper mainly conducts integrity audit research on power data in the cloud storage environment from two aspects: one is that each center of the marketing department of the power supply company will generate a large amount of power text data information every day,local space is not enough to meet storage requirements,cloud storage has security risks,and cannot guarantee the integrity of power text data;second,in the case of high data collection frequency and fast update speed of smart meter,the local space of the power supply company is not enough to store such a large amount of smart meter data,traditional data integrity audit methods can no longer meet the basic audit requirements.Therefore,in view of the integrity audit of cloud storage power text data,this paper proposes a power text data integrity audit scheme based on hierarchical Merkle Hash Tree(MHT);in view of the integrity audit of cloud storage smart meter dynamic data,this paper proposes a smart meter dynamic data integrity audit scheme based on Locality Sensitive Hash(LSH).The main contributions are as follows:(1)This design first generates multiple MHT subtrees by hashing all power text data,then uses the root nodes of all MHT subtrees as leaf nodes to generate a new MHT tree.And each node in the tree is a data information storage container used to store node-related information.In addition,this design also introduces the concept of local root nodes to improve node utilization and shorten the length of the authentication path.Through the comparative analysis of experiments,it can be known that compared with the existing schemes,this design can effectively reduce storage and communication costs,and has higher computing and auditing efficiency.(2)This design first introduces the concept of smart meter identifier,and uses LSH algorithm to improve the update efficiency of smart meter data.LSH algorithm can quickly find out the smart meter data information that needs to be audited during dynamic integrity audit.In addition,this design also uses the time stamp security encryption method to encrypt the smart meter data.Through the comparative analysis of experiments,it can be known that compared with the existing schemes,this design can effectively improve the calculation efficiency of smart meter data and support efficient smart meter data update operations.