Abstract
The development of network makes its security more and more important, but there are many problems in the teaching of network security. Network security has become an important guarantee of network construction. Mastering the technical ability of network security has become the necessary quality of computer and network professionals. Based on this, this paper studies the application of virtual machine software in the teaching of computer network security. Through questionnaire survey, this paper understands the current situation of computer network security course in Colleges and universities, and summarizes the problems existing in the current college computer network security course. Among them, 22.1% of the problems are caused by the fear of system security risks in the teaching process, and the students’ operation practice content is relatively high The reason of less is 19.3%, and the problem caused by the limitation of university equipment resources accounts for 18.6%, and so on. Therefore, the use of virtual machine technology in computer network security in Colleges and universities can effectively solve the problems.
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References
Lee, Y.S., Jeong, J., Son, Y.: Design and implementation of the secure compiler and virtual machine for developing secure IoT services. Future Gen. Comput. Syst. 76(nov.), 350–357 (2017)
Ashraf, Z., Sohail, A., Yousaf, M.: Performance analysis of network applications on IPv6 cloud connected virtual machine. Int. J. Comput. Netw. Inf. Secur. 11(12), 1–9 (2019)
Han, J., Zang, W., Liu, L., et al.: Risk-aware multi-objective optimized virtual machine placement in cloud. J. Comput. Secur. 26(5), 1–24 (2018)
Shi, J., Xu, H., Lu, L.: Research on the migration queue of data center’s virtual machine in software defined networks. Dianzi Yu Xinxi Xuebao/J. Electron. Inf. Technol. 39(5), 1193–1199 (2017)
Gao, J.: 77. A support vector machine model for computer network security technology. Boletin Tecnico/Tech. Bull. 55(12), 564–568 (2017)
Gao, H., Wu, J., Wei, C., et al.: MADM method with interval-valued bipolar uncertain linguistic information for evaluating the computer network security. IEEE Access 7(99), 151506–151524 (2019)
Sadeanit, M.: Guide to computer network security (4th ed.). Comput. Rev. 59(2), 70 (2018)
Stojanov, Z., Dobrilovic, D., Zoric, T.: Exploring students’ experiences in using a physical laboratory for computer networks and data security. Comput. Appl. Eng. Educ. 25(2), 290–303 (2017)
Tobin, P., Le-Khac, N.A., Kechadi, M.T.: A lightweight software write-blocker for virtual machine forensics. J. Inf. Secur. Res. 8(1), 1–9 (2017)
Shi, H., Mirkovic, J., Alwabel, A.: Handling anti-virtual machine techniques in malicious software. ACM Trans. Inf. Syst. Secur. 21(1), 2.1–2.31 (2018)
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Huang, H. (2021). Virtual Machine Software in Computer Network Security Teaching. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_118
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DOI: https://doi.org/10.1007/978-3-030-62743-0_118
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