Network Information Security Situation Assessment Based on Bayesian Network

The situation of information security is difficult to be precise, autonomous and controllable. In this situation, the situation of the system is based on Fuzzy Dynamic Bayesian network. The model of situation awareness and situation estimation is constructed. The simulation results are compared with that of static Bayesian network model. The experimental results show that this method can better reflect the dynamic changes of network space operations.

[1]  Jianxiong Zhou,et al.  A Low-Power and Portable Biomedical Device for Respiratory Monitoring with a Stable Power Source , 2015, Sensors.

[2]  Ke Wang,et al.  A convergence of key‐value storage systems from clouds to supercomputers , 2016, Concurr. Comput. Pract. Exp..

[3]  Zhihan Lv,et al.  A Self-Assessment Stereo Capture Model Applicable to the Internet of Things , 2015, Sensors.

[4]  Zhihan Lv,et al.  Towards a face recognition method based on uncorrelated discriminant sparse preserving projection , 2017, Multimedia Tools and Applications.

[5]  Zhihan Lv,et al.  Touch-less interactive augmented reality game on vision-based wearable device , 2015, Personal and Ubiquitous Computing.

[6]  Tao Li,et al.  An energy-efficient multicast algorithm with maximum network throughput in multi-hop wireless networks , 2016, Journal of Communications and Networks.

[7]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[8]  Jinxing Hu,et al.  XEarth: A 3D GIS platform for managing massive city information , 2015, 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

[9]  Zhihan Lv,et al.  Change detection method for remote sensing images based on an improved Markov random field , 2017, Multimedia Tools and Applications.

[10]  Jinxing Hu,et al.  Traffic Management and Forecasting System Based on 3D GIS , 2015, 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.

[11]  Zhihan Lv,et al.  Stereoscopic image quality assessment method based on binocular combination saliency model , 2016, Signal Process..

[12]  Zhihan Lv,et al.  Multimedia cloud transmission and storage system based on internet of things , 2017, Multimedia Tools and Applications.

[13]  Dingde Jiang,et al.  Joint time-frequency sparse estimation of large-scale network traffic , 2011, Comput. Networks.

[14]  Xu Ying,et al.  Collaborative Multi-hop Routing in Cognitive Wireless Networks , 2015, Wireless Personal Communications.

[15]  Zhihan Lv,et al.  Multimodal Hand and Foot Gesture Interaction for Handheld Devices , 2014, TOMM.

[16]  Song Zhang,et al.  Fast log-Gabor-based nonlocal means image denoising methods , 2014, 2014 IEEE International Conference on Image Processing (ICIP).