Exploring the path of network security and student privacy protection in smart campus based on Markov model
- Autores: Deli Li
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 2793-2806
- Idioma: inglés
- DOI: 10.2478/amns.2023.1.00001
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Resumen
With the advent of technological society, data and intelligence have become the directional trend of development,and the network security of smart campus has become the focus of public attention day by day. The personalizationof college students and the development of intelligent analytics have brought about a whole new change in privacyprotection. The intertwining of campus networks and privacy protection is a complex and very real issue, andresearch based on the privacy protection of college students has become more urgent. Using Markov model as acomputational analysis tool, this paper deeply investigates the security and usage degree of smart campus networksecurity technology, and it propose a complete Markov- network security technology system. The calculationshows that the intrusion detection system has the highest security of 51% and the widest usage of 63%. This isfollowed by firewall technology with 19% security and 26% usage. Based on the above techniques, the systemsecurity of the proposed Markov-network security technique is 57%, which is much better than the 43% of thetraditional network model
