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HVE:A Hidden Vector Encryption with Digital Signature in Grid Computing


Affiliations
1 Anna University, Chennai, India
     

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Smart grid has emerged as a new concept and a promising solution for intelligent electricity generation, transmission, distribution and control by two-way communications. To prevent the private and sensitive information in the metering data from disclosure, data confidentiality and privacy should be achieved in financial audit for smart grid. A novel privacy-preserving range query (PaRQ) scheme over encrypted metering data to address the privacy issues in financial auditing for smart grid. A PaRQ allows a residential user to store metering data on a cloud server in an encrypted form. A PaRQ constructs a elgammal algorithm for encrypting the data. The PaRQ constructs a hidden vector encryption based range query predicate to encrypt the searchable attributes and session keys of the encrypted data.

Keywords

Hidden Vector Encryption, Data Confidentiality, Privacy.
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  • HVE:A Hidden Vector Encryption with Digital Signature in Grid Computing

Abstract Views: 217  |  PDF Views: 1

Authors

H. Prabha
Anna University, Chennai, India

Abstract


Smart grid has emerged as a new concept and a promising solution for intelligent electricity generation, transmission, distribution and control by two-way communications. To prevent the private and sensitive information in the metering data from disclosure, data confidentiality and privacy should be achieved in financial audit for smart grid. A novel privacy-preserving range query (PaRQ) scheme over encrypted metering data to address the privacy issues in financial auditing for smart grid. A PaRQ allows a residential user to store metering data on a cloud server in an encrypted form. A PaRQ constructs a elgammal algorithm for encrypting the data. The PaRQ constructs a hidden vector encryption based range query predicate to encrypt the searchable attributes and session keys of the encrypted data.

Keywords


Hidden Vector Encryption, Data Confidentiality, Privacy.