An Anomalistic Electromagnetism Signal Detection Model Based on Artificial Immune System

Author(s):  
Jie Ma ◽  
Ying-chun Shi ◽  
Zi-fa Zhong ◽  
Xiang Liu
2014 ◽  
Vol 11 (13) ◽  
pp. 86-92 ◽  
Author(s):  
Bin Wu ◽  
Tianliang Lu ◽  
Kangfeng Zheng ◽  
Dongmei Zhang ◽  
Xing Lin

2011 ◽  
Vol 403-408 ◽  
pp. 2457-2460 ◽  
Author(s):  
Run Chen ◽  
Cai Ming Liu ◽  
Lu Xin Xiao

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.


2016 ◽  
Vol 21 (11) ◽  
pp. 2847-2856 ◽  
Author(s):  
Cheng-Chin Tsao ◽  
Pei-Chann Chang ◽  
Chin-Yuan Fan ◽  
Shu-Hao Chang ◽  
Fred Phillips

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