【摘 要】
：
Data aggregation has been widely researched to ad-dress the privacy concern when data is published,meanwhile,data aggregation only obtains the sum or average in an area.In reality,more fine-grained data brings more value for data consumers,such as more ac
【机 构】
：
Guangxi Key Laboratory of Trusted Software,Guilin University of Electronic Technology,Guilin 541004,
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Data aggregation has been widely researched to ad-dress the privacy concern when data is published,meanwhile,data aggregation only obtains the sum or average in an area.In reality,more fine-grained data brings more value for data consumers,such as more accurate management,dynamic price-adjusting in the grid system,etc.In this paper,a multi-subset data aggregation scheme for the smart grid is proposed with-out a trusted third party,in which the control center collects the number of users in different subsets,and obtains the sum of electricity consumption in each subset,meantime individ-ual user\'s data privacy is still preserved.In addition,the dy-namic and flexible user management mechanism is guaran-teed with the secret key negotiation process among users.The analysis shows MSDA not only protects users\' privacy to re-sist various attacks but also achieves more functionality such as multi-subset aggregation,no reliance on any trusted third party,dynamicity.And performance evaluation demonstrates that MSDA is efficient and practical in terms of communica-tion and computation overhead.
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