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
Link To Document :
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