Anomaly Detection for Internet of Things (IoT) Using an Artificial Immune System

2021 ◽  
pp. 858-867
Author(s):  
Noe Elisa ◽  
Longzhi Yang ◽  
Fei Chao ◽  
Nitin Naik
Keyword(s):  
Immune System ◽  
Internet Of Things ◽  
Anomaly Detection ◽  
Artificial Immune System ◽  
Artificial Immune

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.

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