doi: 10.4304/jsw.9.6.1587-1594
The Security Evaluation of ATM Information System Based on Bayesian Regularization
- 1 School of Air Traffic Management, Civil Aviation University of China, Tianjin, China
- 2 Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China
- 3 Engineering Technology Department, Prairie View A&M University, USA
Abstract
Air Traffic Management (ATM) system is enticing targets of cyber-attacks since 9.11 event, and the security situation of ATM information system is closely related to the safety flight of air transportation. In this paper, an approach of security evaluation for ATM system is proposed based on artificial neural network (ANN). The proposed approach combines neural networks with Bayesian regularization to simulate ATM system in ANN. An indicator system of security situation for ATM system is established as the input of ANN, and the output is system security level, which is obtained by training the ANN with the daily recoded data of ATM system. Experimental results show that the proposed method has a certain precision and practicality.
Keywords
- Air
- Traffic
- Management;
- Information
- secu
How to Cite
Lan Ma, Jia Xu, Zhijun Wu, Xiaoyu Zhang, Jiusheng Chen, and Sarhan M. Musa, "The Security Evaluation of ATM Information System Based on Bayesian Regularization," Journal of Software, vol. 9, no. 6, pp. 1587-1594, 2014. https://doi.org/ 10.4304/jsw.9.6.1587-1594
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).