The Design of Protection Security System of University Educational Information System

Abstract:

As the important part of the university digital campus,establishing the whole security and protection financial information system in the educational information system is an important problem in the current digital campus. This paper systematically and methodically considers the full range of university needs and educational information network security features, so as to achieve overall system security with on a comprehensive network security plan and the implementation of modular sub-network area. In this paper, security operation system can ensure the security of the application environment, and data backup technologies ensure the transmission and storage of classified data security.

• Periodical: Advanced Materials Research (Volumes 962-965)
• Pages: 3063-3066
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.962-965.3063
• Online since: June 2014
• Authors: Jun Ji*, Fei Fei Xing, Jun Du
• Keywords: Data Security, Data Storage, Security Operation System

References

[1] H.Q. Wang, J.B. Lai, Y. Liang, X.W. Liu. The classification, design and placement of security sensor for network security situational awareness system. International Conference on Internet Computing in Science and Engineering, 321-324(2008).

DOI: 10.1109/icicse.2008.62

[2] J.D. Zhu, L. Liu. University network security risk assessment based On fuzzy analytic hierarchy process. International Conference on Computer Application and System Modeling, 9: 213-217(2010).

DOI: 10.1109/iccasm.2010.5623049

[3] R Li, Y Yang. Network security assessment based on fuzzy sets and rough sets. The 5th International Conference on Wireless Communications, Networking and Mobile Computing, 1-4 (2009).

DOI: 10.1109/wicom.2009.5302948

[4] X.Z. Chen, Q.H. Zheng, X.H. Guan. Quantitative Hierarchical Threat Evaluation Mode for network Security, Journal of Software, 17(4): 885-897(2006).

[5] L.J. Wang, B Wang, Y.J. Peng. Research the information security risk assessment technique based on Bayesian network. The 3rd International Conference on Advanced Computer Theory and Engineering, 3: 600-604(2010).

DOI: 10.1109/icacte.2010.5579740

[6] D.J. Zhang. Application of gap technology in the social security information system, Electronic Engineer, 33(11): 63(2007).

[7] Scan Convert. Network security architecture, Beijing: Posts & Telecom Press (2005).

[8] H Andrew. Analyzing Computer intrusions. University of California. San Diego, CA (1997).

[9] S Foresti, J Agutter, Y Livnat. Visual correlation of network alerts. Computer Graphics and Applications, 26(2): 48−59 (2006).

DOI: 10.1109/mcg.2006.49

[10] Y Wei. Network security situation assessment model research. Anhui: University of Science and Technology of China, 8−9 (2009).