Secure and Private Data Aggregation for Energy Consumption Scheduling in Smart Grids

Secure and Private Data Aggregation for Energy Consumption Scheduling in Smart Grids The recent proposed solutions for demand side energy management leverage the two-way communication infrastructure provided by modern smart-meters and sharing the usage information with the other users. In this paper, we first highlight the privacy and security issues involved in the distributed demand management protocols. We propose a novel protocol to share required information among users providing privacy, confidentiality, and integrity. We also propose a new clustering-based, distributed multi-party computation (MPC) protocol. Through simulation experiments we demonstrate the…

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