Visible to the public Healing process towards resiliency in cyber-physical system: A modified danger theory based artifical immune recogization2 algorithm approach

TitleHealing process towards resiliency in cyber-physical system: A modified danger theory based artifical immune recogization2 algorithm approach
Publication TypeConference Paper
Year of Publication2015
AuthorsLokesh, M. R., Kumaraswamy, Y. S.
Conference Name2015 IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS)
PublisherIEEE
ISBN Number978-1-4673-7437-8
Keywordsactuators, Admission control, artifical immune recogization algorithm approach, Artifical Immune System, Artificial Immune Recognization2 Algorithm, artificial immune systems, biological inspired danger theory, Computer architecture, convergence rates, cyber-physical system, Cyber-physical systems, danger theory, healing process, Immune system, Microprocessors, modified danger theory, Multi Agent System, multi-agent systems, multiagent paradigm, pubcrawl170107, Resiliency, simulation environment
Abstract

Healing Process is a major role in developing resiliency in cyber-physical system where the environment is diverse in nature. Cyber-physical system is modelled with Multi Agent Paradigm and biological inspired Danger Theory based-Artificial Immune Recognization2 Algorithm Methodology towards developing healing process. The Proposed methodology is implemented in a simulation environment and percentage of Convergence rates shown in achieving accuracy in the healing process to resiliency in cyber-physical system environment is shown.

URLhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7449926&isnumber=7449869
DOI10.1109/CGVIS.2015.7449926
Citation Keylokesh_healing_2015