Earticle

초록

영어

Network security situation prediction is of great significance for the use of the Internet, and it is the focus of production and life issues. Under the guidance of the model combination forecasting method, In this paper, based on the Kalman filtering model a new method of network security prediction is presented, which is based on the theory of decision entropy. In this method, the Kalman state equation and measurement equation are constructed according to the key attributes of the network security state, and then combined with the decision entropy theory to predict the future state of network security. The experimental results show that the proposed method has high prediction accuracy and is suitable for the state prediction of network security.

목차

Abstract
 1. Introduction
 2. The Network Security Prediction Model
 3. Proposed Network Security Prediction Algorithm
  3.1 Kalman Filtering Algorithm for Network Security Situation
  3.2 The New Information Estimation for Network Security Situation
  3.3 Decision Entropy Fusion Kalman Filtering Network Security Situation Prediction Algorithm
 4. Experimental Results and Analysis
  4.1. Experimental Scene Configuration
  4.2 Network Security Situation Calculation
  4.3 Network Security Situation Prediction
 5. Conclusion
 Reference

키워드

저자

• Yunfa Li [ Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China ]
• Mingyi Li [ Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China ]
• Yangyang Shen [ Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605