PROJECT TITLE :
Diverse Grouping-Based Aggregation Protocol With Error Detection for Smart Grid Communications
Good grid, as the following generation of power grid characterised by “two-way” communications, has been paid nice attention to realizing inexperienced, reliable, and efficient electricity delivery for our future lives. In order to support the 2-way communications in smart grid, a giant number of smart meters (SMs) ought to be deployed to customers to report their close to real-time knowledge to control center for monitoring purpose. But, this sort of real-time report could disclose users’ privacy, bringing down the users’ willingness to participate in good grid. So as to handle the challenge, during this paper, by considering the lifetime of SMs as exponential distribution, we tend to propose a various grouping-based aggregation protocol with error detection (DG-APED), which employs differential privacy technique into grouping-primarily based private stream aggregation for secure sensible grid communications. DG-APED can not only achieve privacy-preserving aggregation, however additionally perform error detection efficiently when some SMs are malfunctioning. Detailed security analysis shows that DG-APED will guarantee the safety and privacy needs of good grid communications. Additionally, extensive performance analysis additionally verifies the effectiveness and efficiency of the proposed DG-APED.
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