• DocumentCode
    3579142
  • Title

    A novel dual euclidean algorithm for secure data transmission in smart grid system

  • Author

    Vijayanand, R. ; Devaraj, D. ; Kannapiran, B.

  • Author_Institution
    Department of CSE, Kalasalingam University, Tamil nadu, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Smart Grid is a widely distributed automated energy delivery network, which uses two way flows of energy and data to deliver the electricity to the customer with minimum disturbance. The backbone of smart grid is the communication network. The reliability of the smart grid depends on the data received from various distributed domains of the network. Because of the multifaceted nature of the network, the smart grid is highly prone to attacks. Another issue is the generation of vast amount of data. The massiveness of devices and data collected in smart grid makes the system unable to use the existing cryptographic algorithms. So, there is a need for a security algorithm that provides high security as well as executes promptly. In this paper, we propose an efficient security algorithm that can encrypt large amount of data in short time. The algorithm we propose uses the dual Euclidean algorithm with two keys k1 and k2. The keys are distributed by the trusted third party through secure channel. It provides NP-hard complexity and will not be able to disclose without knowing both keys. The security and performance of the algorithm are analyzed by comparing it with the widely used AES algorithm. Simulation results demonstrate the suitability of the proposed scheme for the vast data generating systems.
  • Keywords
    Algorithm design and analysis; Ciphers; Data communication; Smart grids; Wide area networks; Dual Euclidean; data security; secure data transmission; secure message transmission; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-3974-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2014.7238388
  • Filename
    7238388