• DocumentCode
    1642397
  • Title

    Efficient authentication scheme for data aggregation in smart grid with fault tolerance and fault diagnosis

  • Author

    Li, Depeng ; Aung, Zeyar ; Williams, John R. ; Sanchez, Abel

  • Author_Institution
    Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Authentication schemes relying on per-packet signature and per-signature verification introduce heavy cost for computation and communication. Due to its constraint resources, smart grid´s authentication requirement cannot be satisfied by this scheme. Most importantly, it is a must to underscore smart grid´s demand for high availability. In this paper, we present an efficient and robust approach to authenticate data aggregation in smart grid via deploying signature aggregation, batch verification and signature amortization schemes to less communication overhead, reduce numbers of signing and verification operations, and provide fault tolerance. Corresponding fault diagnosis algorithms are contributed to pinpoint forged or error signatures. Both experimental result and performance evaluation demonstrate our computational and communication gains.
  • Keywords
    fault diagnosis; fault tolerance; handwriting recognition; power system faults; smart power grids; authentication scheme; batch verification schemes; communication overhead; data aggregation; fault diagnosis; fault tolerance; per-packet signature; per-signature verification; signature aggregation schemes; signature amortization schemes; smart grid; Authentication; Availability; Fault diagnosis; Fault tolerance; Fault tolerant systems; Smart grids; Authentication; batch verification; digital signature; fault diagnosis; fault tolerance; smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-2158-8
  • Type

    conf

  • DOI
    10.1109/ISGT.2012.6175680
  • Filename
    6175680