Research On Data Aggregation Protocol With Fault Tolerance

In recent years,data aggregation issues in smart grids have been studied in-depth,but most of them require the collaboration of trusted third parties.However,it is tough to find a wholly trusted third party in reality.Even if there is such a trusted third party,it is inevitable to spend many human resources and material resources to maintain its absolute security and absolute credibility in the follow-up.To protect users’ privacy,this paper proposes two data aggregation schemes with privacy protection from the perspective of the privacy and use of electricity data.Specific studies are as follows.As smart cities and nations are fast becoming a reality,so does the underpinning infrastructure such as smart grids.One particular challenge associated with smart grid implementation is the need to ensure privacy preserving multi-subset data aggregation.Existing approaches generally require the collaboration of a trusted third party(TTP),which may not be practical.This also increases the threat exposure,as the attacker can now target the TTP who may be servicing several smart grid operators.Therefore,in this paper,a fault-tolerant multi-subset data aggregation scheme is proposed.Our scheme aggregates the total electricity consumption value and obtains the number of users and the total electricity consumption in different numerical intervals,without relying on any TTP.Detailed system analysis shows that our scheme prevents the leakage of single data,as well as guarantees the efficiency when a new user joins and an existing user leaves.Findings from our evaluation also demonstrate that system robustness(fault tolerance)is achieved with negligible additional cost.Privacy-preserving data aggregation has been studied extensively over the past decades,but there are still some concerns remained.For example,some schemes cannot resist against internal attacks,especially when the internal attack is launched by either the data centers that allocate the system security parameters or the attacker who shares the common information with the targeted user.In this paper,we propose a lightweight privacy-preserving data aggregation scheme,which is more efficient and suitable for the resource-constrained devices.Our scheme aggregates total electricity consumption data in the smart grid,with the capability of resisting against the collusion attacks with(n-1)users.In the evaluation,we investigate the performances in the aspects of computation and communication costs as compared with the state-of-the-art,and the results show that our scheme is practical for the current smart grid environment.