Volume 9 Number 6 (Jun. 2014)
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JSW 2014 Vol.9(6): 1587-1594 ISSN: 1796-217X
doi: 10.4304/jsw.9.6.1587-1594

The Security Evaluation of ATM Information System Based on Bayesian Regularization

Lan Ma1, Jia Xu2, Zhijun Wu2, Xiaoyu Zhang2, Jiusheng Chen2, Sarhan M. Musa3

1School of Air Traffic Management, Civil Aviation University of China, Tianjin, China
2Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China
3Engineering 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.

Index Terms—Air Traffic Management; Information security evaluation; Bayesian regularization

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Cite: Lan Ma, Jia Xu, Zhijun Wu, Xiaoyu Zhang, Jiusheng Chen, 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.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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