Secure Cloud SDN Educational Management with Internet + Learning Management System

Main Article Content

Rui Yang

Abstract

The education management model refers to the system and processes that colleges and universities use to manage and oversee their academic programs and operations. However, with the advent of digital technologies, there has been a growing trend towards the Internet+ college education management model, which integrates digital technologies into all aspects of college education management. This model includes the use of online learning platforms and tools, such as learning management systems (LMS), to deliver courses and manage student progress. It also includes the use of digital technologies for administrative tasks such as admissions, enrolment, and financial aid. However, the educational management model is subjected to the challenge of security for educational data management. Hence, this paper constructed a secure framework model of the Ethereum SDN Cloud Architecture (ESDNarc). The ESDNarc model uses the Software-defined Network (SDN) for the decentralized management of the network, secure transactions, and improved efficiency. The ESDNarch model incorporates the SDN with the cryptography scheme the secure the data. The constructed model uses the double-hashing Elliptical Curve Cryptography (DHECC) for the data stored in the Ethereum blockchain. The performance of the constructed model is evaluated with the KDD data set. Simulation analysis stated that ESDNarch significantly increases the data security in the cloud model for the attacks in the network.

Article Details

How to Cite
Yang, R. . (2023). Secure Cloud SDN Educational Management with Internet + Learning Management System . International Journal on Recent and Innovation Trends in Computing and Communication, 11(6s), 44–54. https://doi.org/10.17762/ijritcc.v11i6s.6809
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Articles

References

Sun, W., & Gao, Y. (2021). The design of university physical education management framework based on edge computing and data analysis. Wireless Communications and Mobile Computing, 2021, 1-8.

Yang, H., & Zhang, W. (2022). Data mining in college student education management information system. International Journal of Embedded Systems, 15(3), 279-287.

Zhao, M. (2022). Research on the Effect of IOT Wireless Network Technology on the Educational Management of China’s Universities. Security and Communication Networks, 2022.

Liu, Y., & Liu, Y. (2023). Design of a control mechanism for the educational management automation system under the Internet of Things environment. Mathematical Biosciences and Engineering, 20(4), 7661-7678.

Usman, O., & Riswono, D. A. (2021). The Effect of Whatsapp, Zoom and Learning Management System (LMS) on the Effectiveness of Online Learning Students Faculty of Economics State University of Jakarta. Zoom and Learning Management System (LMS) on the Effectiveness of Online Learning Students Faculty of Economics State University of Jakarta (December 29, 2021).

Singh, K. D., & Sood, S. K. (2020). Optical fog?assisted cyber?physical system for intelligent surveillance in the education system. Computer Applications in Engineering Education, 28(3), 692-704.

Adel, A. (2020). Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective. Journal of Big Data, 7(1), 1-29.

Latif, S. A., Wen, F. B. X., Iwendi, C., Li-li, F. W., Mohsin, S. M., Han, Z., & Band, S. S. (2022). AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems. Computer Communications, 181, 274-283.

Rahman, A., Chakraborty, C., Anwar, A., Karim, M. R., Islam, M. J., Kundu, D., ... & Band, S. S. (2021). SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic. Cluster Computing, 1-18.

Wu, Y., Dai, H. N., & Wang, H. (2020). Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0. IEEE Internet of Things Journal, 8(4), 2300-2317.

Chang, V., Golightly, L., Modesti, P., Xu, Q. A., Doan, L. M. T., Hall, K., ... & Kobusi?ska, A. (2022). A survey on intrusion detection systems for fog and cloud computing. Future Internet, 14(3), 89.

Dai, M., Su, Z., Li, R., & Yu, S. (2021). A Software-defined-networking-enabled approach for edge-cloud computing in the Internet of Things. IEEE Network, 35(5), 66-73.

Islam, M. J., Rahman, A., Kabir, S., Karim, M. R., Acharjee, U. K., Nasir, M. K., ... & Wu, S. (2021). Blockchain-SDN-based energy-aware and distributed secure architecture for IoT in smart cities. IEEE Internet of Things Journal, 9(5), 3850-3864.

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020). Integration of blockchain and cloud of things: Architecture, applications and challenges. IEEE Communications surveys & tutorials, 22(4), 2521-2549.

Ujjan, R. M. A., Pervez, Z., Dahal, K., Bashir, A. K., Mumtaz, R., & González, J. (2020). Towards sFlow and adaptive polling sampling for deep learning based DDoS detection in SDN. Future Generation Computer Systems, 111, 763-779.

Cao, B., Zhang, J., Liu, X., Sun, Z., Cao, W., Nowak, R. M., & Lv, Z. (2021). Edge–cloud resource scheduling in space–air–ground-integrated networks for internet of vehicles. IEEE Internet of Things Journal, 9(8), 5765-5772.

Xu, X., Huang, Q., Zhu, H., Sharma, S., Zhang, X., Qi, L., & Bhuiyan, M. Z. A. (2020). Secure service offloading for internet of vehicles in SDN-enabled mobile edge computing. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3720-3729.

Zhang, G., & Navimipour, N. J. (2022). A comprehensive and systematic review of the IoT-based medical management systems: applications, techniques, trends and open issues. Sustainable Cities and Society, 103914.

Karthika, R., Rajkumar, S. C., Deborah, L. J., & Geetha, S. (2023). A novel secure e-learning model for accurate recommendations of learning objects. Secure Data Management for Online Learning Applications, 169-190.

Akdere, M. (2021). The impact of the Internet of Things on education: A review. Journal of Educational Technology Development and Exchange, 14(1), 1-10.

Aydin, C. H., & Tasci, D. (2020). Online learning during COVID-19 pandemic: Students' and teachers' perspectives. Turkish Online Journal of Distance Education, 21(4), 166-185.

Balaji, M. S., & Sugumaran, V. (2021). Adoption of Internet of Things in higher education: A systematic literature review. Telematics and Informatics, 58, 101511.

Chang, Y. H., & Fang, S. C. (2020). An intelligent education system with blockchain and smart contract technology. Sustainability, 12(9), 3717.

Chen, Y., Hu, Y., & Huang, Y. (2020). The effects of online social presence on learning performance in a blended learning environment: A case study of a Chinese university. International Journal of Distance Education Technologies, 18(2), 1-16.

Feng, Q., Zhang, J., & Li, L. (2020). Development of an educational management system based on cloud computing and big data. Journal of Educational Technology Development and Exchange, 13(4), 71-82.

Huang, S. H., & Lin, J. C. C. (2020). Assessing the effectiveness of mobile learning in higher education: A systematic review and meta-analysis. Computers & Education, 156, 103961.

Karabatak, M., & Akman, I. (2021). E-learning quality and e-learning satisfaction during COVID-19 pandemic: A study of university students in Turkey. Education and Information Technologies, 26(3), 2409-2427.

Kim, J. H., & Kim, M. (2020). The effect of technology acceptance factors on mobile learning adoption: An empirical study. International Journal of Information Management, 50, 272-283.

Lee, Y. T., & Chen, Y. F. (2021). Examining the factors affecting learners' behavioral intention to use mobile learning: A case study of a Taiwanese university. Sustainability, 13(5), 2494.

Li, Y., Zhu, L., & Li, Z. (2020). Design and implementation of a virtual classroom system based on cloud computing. Journal of Educational Technology Development and Exchange, 13(3), 91-102.

Liu, X., Liu, D., & Jiang, W. (2020). Research on the application of Internet of Things technology in university teaching. Journal of Educational Technology Development and Exchange, 13(2), 63-73.

Su, Y. S., Chang, Y. H., & Chen, C. L. (2021). Development of a smart learning system using augmented reality and gamification. Computers & Education, 162, 104046.

Wu, J., Wu, H., & Lu, H. (2020). An analysis of factors affecting students' acceptance of mobile learning: A perspective from the theory of planned behavior. Interactive Learning Environments, 28(2), 182-194.