Shi, Y.Q., Li, T., Chen, W. and Zhang, R.R. (2009) A Quantitative Model for Network Security Situation Awareness Based on Immunity And Grey Theory. Proceedings of the 2009 ISECS International Colloquium on Computing, Communication, Control, and Management, Sanya, 8-9 August 2009, 14-18.
https://doi.org/10.1109/CCCM.2009.5267847

has been cited by the following article:

• TITLE: An Immunity-Based IOT Environment Security Situation Awareness Model

  AUTHORS: Yuanquan Shi, Tao Li, Renfa Li, Xiaoning Peng, Pengju Tang

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

  JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.7, May 25, 2017

  ABSTRACT: 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.