Recommender system model based on artificial immune system

2006 ◽  
Author(s):  
B. Mihaljevic ◽  
A. Cvitas ◽  
M. Zagar
Keyword(s):  
Immune System ◽  
Recommender System ◽  
Artificial Immune System ◽  
System Model ◽  
Artificial Immune ◽  
Model Based

A Security Situation Sense Model Based on Artificial Immune System in the Internet of Things

2011 ◽  
Vol 403-408 ◽  
pp. 2457-2460 ◽  
Author(s):  
Run Chen ◽  
Cai Ming Liu ◽  
Lu Xin Xiao
Keyword(s):  
Immune System ◽  
Internet Of Things ◽  
Artificial Immune System ◽  
Theory And Practice ◽  
The Internet ◽  
Security Threat ◽  
Artificial Immune ◽  
Model Based ◽  
The Internet Of Things ◽  
Sense Model

Grasping security situation of the Internet of Things (IoT) is useful to work out a scientific and reasonable strategy to defend the IoT security. In the interest of resolving the problems of the security situation sense technology for IoT, a security situation sense model based on artificial immune system for IoT is proposed in this paper. Security threat sense sub-model, formulation mechanism for security threat intensity and security situation assessment sub-model are established. The security threats in the IoT environment are surveyed effectively. Quantitative and accurate assessment for the Real-Time security situation is realized. Theoretical analysis shows that the proposed model is significative of theory and practice.

An Improved Artificial Immune System Model

2013 ◽  
Vol 420 ◽  
pp. 311-317
Author(s):  
Gui Yang Li ◽  
Tao Guo
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Experimental Results ◽  
Learning Ability ◽  
System Model ◽  
Generic Model ◽  
Receptor Editing ◽  
Artificial Immune ◽  
Immune Receptor ◽  
Improved Model

nspired by the theory of biological immune receptor editing/revision, an improved artificial immune system model is proposed. Different from generic model, the improved model does not need to set the detectors detection radius, but it gives the detector a certain degree of learning ability through receptor editing and receptor revision. This makes the detector has a capability to adjust the detection position and detection radius automatically. Experimental results show that the improved model achieves better detection performance than generic model.

P2.9.14 An artificial immune system model for gas sensors drift mitigation

2012 ◽  
Author(s):  
Gabriele Magna ◽  
Eugenio Martinelli ◽  
Alexandro Catini ◽  
Arnaldo D'Amico ◽  
Corrado Di Natale ◽  
...  
Keyword(s):  
Immune System ◽  
Gas Sensors ◽  
Artificial Immune System ◽  
System Model ◽  
Artificial Immune
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