• DocumentCode
    3767279
  • Title

    State awareness towards resiliency in cyber-physical system: A modified Danger Theory based deterministic Dendritic Cell Algorithm approach

  • Author

    M R Lokesh;Y. S. Kumaraswamy

  • Author_Institution
    Department of Computer Science and Engineering, Sathyabama University, Chennai, India
  • fYear
    2015
  • Firstpage
    201
  • Lastpage
    208
  • Abstract
    State awareness plays major role in developing resiliency in cyber-physical system where the environment is diverse in nature. Cyber-physical system is modeled with Multi Agent Paradigm and biological inspired Danger Theory based-Dendritic Cell Algorithm Methodology is applied towards developing state awareness. The proposed methodology uses, Threshold-based agent population concentration to define each state toward indicates different state awareness on resiliency in cyber-physical system. This achieves new proposal of state awareness algorithm. The Algorithm is validated with simulation results as well numerical analyses.
  • Keywords
    "Cyber-physical systems","Immune system","Computer architecture","Microprocessors","Data integration","Robot sensing systems","Biological system modeling"
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Vision and Information Security (CGVIS), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CGVIS.2015.7449922
  • Filename
    7449922