A Privacy-Preserving Data-Sharing Framework for Smart Grid

Distributed energy resources (ERs), featured with small-scale power generation technologies and renewable energy sources, are considered as necessary supplements for smart grid. To ensure that merged resources contribute effectively to the grid, data generated by consumer side should be shared among the ERs. However, it also introduces challenges of the protection of consumer privacy. To address these difficulties, we propose a new framework to share data in smart grid by leveraging new advances in homomorphic encryption and proxy re-encryption. Our proposed framework allows ERs to analyze consumer data while ensuring consumer privacy. An additional benefit of our proposed framework is that consumer data is transmitted over the smart grid only once. Furthermore, we present a concrete scheme falling into the proposed framework. Extensive analysis shows that the concrete scheme is secure and efficient.

[1]  Xiaohui Liang,et al.  SESA: an efficient searchable encryption scheme for auction in emerging smart grid marketing , 2014, Secur. Commun. Networks.

[2]  Xiaodong Lin,et al.  FINE: A fine-grained privacy-preserving location-based service framework for mobile devices , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[3]  Weihua Zhuang,et al.  Towards optimal energy store-carry-and-deliver for PHEVs via V2G system , 2012, 2012 Proceedings IEEE INFOCOM.

[4]  Khalid Alfaheid Secure and compromise-resilient architecture for advanced metering infrastructure , 2011 .

[5]  Cong Wang,et al.  Achieving usable and privacy-assured similarity search over outsourced cloud data , 2012, 2012 Proceedings IEEE INFOCOM.

[6]  Craig Gentry,et al.  A fully homomorphic encryption scheme , 2009 .

[7]  Zhenfu Cao,et al.  CCA-Secure Proxy Re-Encryption without Pairings , 2009, IACR Cryptol. ePrint Arch..

[8]  Cong Wang,et al.  Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing , 2010, 2010 Proceedings IEEE INFOCOM.

[9]  Jiming Chen,et al.  Sensing-Performance Tradeoff in Cognitive Radio Enabled Smart Grid , 2013, IEEE Transactions on Smart Grid.

[10]  Xiaodong Lin,et al.  A framework for privacy-preserving data sharing in the Smart Grid , 2014, 2014 IEEE/CIC International Conference on Communications in China (ICCC).

[11]  Xiaohui Liang,et al.  Securing smart grid: cyber attacks, countermeasures, and challenges , 2012, IEEE Communications Magazine.

[12]  Alexandre Oudalov,et al.  The Provision of Frequency Control Reserves From Multiple Microgrids , 2011, IEEE Transactions on Industrial Electronics.

[13]  Xiaohui Liang,et al.  EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications , 2012, IEEE Transactions on Parallel and Distributed Systems.

[14]  Xiaohui Liang,et al.  EPPDR: An Efficient Privacy-Preserving Demand Response Scheme with Adaptive Key Evolution in Smart Grid , 2014, IEEE Transactions on Parallel and Distributed Systems.

[15]  Matthew K. Franklin,et al.  Identity-Based Encryption from the Weil Pairing , 2001, CRYPTO.