Privacy Preserved Secured Data Aggregation Technique for Smart Grid Communication System
Keywords:
Data integrity, Privacy Preserving, Data aggregation, Differential privacyAbstract
Smart grid application is the most concerned application in the real world environment which will generate different power readings in different time periods. These readings are to be gathered and sent to the centralized server for further processing. The single node failure in the smart grid system might lead to entire system failure where the aggregation can't be performed well. During data aggregation user privacy, fault tolerance and data integrity are to be considered as the important factors by the smart grid system. The technique DPAFT (Differentially Private data aggregation with Fault Tolerance) provides efficient differential privacy with fault tolerance for smart metering. And also DPAFT uses Honest but curious model to maintain data integrity against internal/external attack and End to end signature to accidental attack. Performance evaluation illustrate that DPAFT is efficient in terms of differentially privacy storage cost, computational complexity and robustness of fault tolerance.
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