Author(s)

Yuanquan Shi^1,2, Tao Li³, Renfa Li², Xiaoning Peng¹, Pengju Tang¹

¹College of Computer Science and Engineering, Huaihua University, Huaihua, China.
²College of Computer Science and Electronic Engineering, Hunan University, Changsha, China.
³College of Computer Science, Sichuan University, Chengdu, China.

To effectively perceive network security situation under IOT environment, an Immunity-based IOT Environment Security Situation Awareness (IIESSA) model is proposed. In IIESSA, some formal definitions for self, non-self, antigen and detector are given. According to the relationship between the antibody-concentration of memory detectors and the intensity of network attack activities, the security situation evaluation method under IOT environment based on artificial immune system is presented. And then according to the situation time series obtained by the mentioned evaluation method, the security situation prediction method based on grey prediction theory is presented for forecasting the intensity and security situation of network attack activities that the IOT environment will be suffered in next step. The experimental results show that IIESSA provides a novel and effective model for perceiving security situation of IOT environment.

IOT Environment, Security Situation Awareness, Artificial Immune System, Grey Prediction

Shi, Y. , Li, T. , Li, R. , Peng, X. and Tang, P. (2017) An Immunity-Based IOT Environment Security Situation Awareness Model. Journal of Computer and Communications, 5, 182-197. doi: 10.4236/jcc.2017.57016.