Paper Info
Title
A Cognitive Model of Immune System for Increasing Security in Distributed Systems
Abstract
With developing of systems, the security of distributed systems such as Grid is going to be a fundamental challenge. However various methods and tools were used to increasing the security, but the most of them impose a centralized management. In this paper, a cognitive model based on Biological Immune System modeling will be proposed. In the proposed model four groups of autonomous agents are used. Each agent has learning ability and could interact with other agents. The structure of agents is based on Biological Agents that has memory and could use previous experiments. Each group of agents is designed in two levels. In the first level, the model of the agent, its components and the relation between them are presented. In the second level, the interactions of agents are designed and illustrated. The two levels are based on the B cell and T cell lymphocytes modeling. Furthermore, the behavior flowchart of agents will be presented and explained. The proposed model is based on collaboration of the agents and doesn't need centralized management.
Year
DOI
Venue
2012
10.1109/UKSim.2012.33
UKSim
Keywords
Field
DocType
centralized management,previous experiment,fundamental challenge,cognitive model,autonomous agent,biological agents,behavior flowchart,biological immune system modeling,b cell,biological agent,distributed system,multi agent systems,immune system,computer architecture,grid computing,computer network security,security,artificial immune systems,cognition,mathematical model,computational modeling,learning artificial intelligence,agent
Artificial immune system,Autonomous agent,Grid computing,Computer science,Network security,Multi-agent system,Cognitive model,Flowchart,Grid,Distributed computing
Conference
Citations 
PageRank 
References 
1
0.37
8
Authors
2
Name
Order
Citations
PageRank
Elnaz B. Noeparast110.37
Touraj Banirostam283.35