• DocumentCode
    1770423
  • Title

    AgSec: Secure and efficient CDMA-based aggregation for smart metering systems

  • Author

    Alamatsaz, Navid ; Boustani, Arash ; Jadliwala, Murtuza ; Namboodiri, Vinod

  • Author_Institution
    Wichita State Univ., Wichita, KS, USA
  • fYear
    2014
  • fDate
    10-13 Jan. 2014
  • Firstpage
    489
  • Lastpage
    494
  • Abstract
    Security and privacy concerns in the future power grid have recently received tremendous focus from security advocates. Most existing security mechanisms utilize cryptographic techniques that are computationally expensive and bandwidth intensive. However, aggregating the large outputs of these cryptographic algorithms has not been considered thoroughly. Smart Grid Networks (SGN) generally have limitations on bandwidth, network capacity and energy. Hence, utilizing data aggregation algorithms, the limited bandwidth can be efficiently utilized. Most of the aggregation algorithms use statistical functions such as minimum, maximum, and average. before transmitting data over the network. Existing aggregation algorithms, in SGNs, are generally expensive in terms of communication overhead, processing load and delay. However, our proposed CDMA-based data aggregation method provides access to all the data of all the smart meters in the root node, which in this case is the Utility Center, while keeping the smart metering data secure. The efficiency of the proposed method is confirmed by mathematical analysis.
  • Keywords
    code division multiple access; cryptography; mathematical analysis; smart meters; smart power grids; telecommunication security; AgSec; SGN; communication overhead; cryptographic techniques; data aggregation; efficient CDMA; mathematical analysis; network capacity; network energy; power grid; privacy concerns; secure CDMA; security concerns; smart grid networks; smart metering systems; statistical functions; utility center; Cryptography; Delays; Multiaccess communication; Protocols; Smart grids; Smart meters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-2356-4
  • Type

    conf

  • DOI
    10.1109/CCNC.2014.6866615
  • Filename
    6866615