<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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 personalization of college students and the development of intelligent analytics have brought about a whole new change in privacy protection. The intertwining of campus networks and privacy protection is a complex and very real issue, and research based on the privacy protection of college students has become more urgent. Using Markov model as a computational analysis tool, this paper deeply investigates the security and usage degree of smart campus network security technology, and it propose a complete Markov- network security technology system. The calculation shows that the intrusion detection system has the highest security of 51% and the widest usage of 63%. This is followed by firewall technology with 19% security and 26% usage. Based on the above techniques, the system security of the proposed Markov-network security technique is 57%, which is much better than the 43% of the traditional network model.</p>
</abstract>

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 personalization of college students and the development of intelligent analytics have brought about a whole new change in privacy protection. The intertwining of campus networks and privacy protection is a complex and very real issue, and research based on the privacy protection of college students has become more urgent. Using Markov model as a computational analysis tool, this paper deeply investigates the security and usage degree of smart campus network security technology, and it propose a complete Markov- network security technology system. The calculation shows that the intrusion detection system has the highest security of 51% and the widest usage of 63%. This is followed by firewall technology with 19% security and 26% usage. Based on the above techniques, the system security of the proposed Markov-network security technique is 57%, which is much better than the 43% of the traditional network model.

Exploring the path of network security and student privacy protection in smart campus based on Markov model

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the advent of technological society, data and intelligence have become the directional trend of development, and the network security of smart campus has...

Exploring the path of network security and student privacy protection in smart campus based on Markov model

Online veröffentlicht: 10. März 2023

Seitenbereich: 2793 - 2806

Eingereicht: 08. März 2022

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00001

Schlüsselwörter
Markov model, Smart campus, Network security, Privacy protection, Intrusion detection system

© 2023 Delu Li, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the path of network security and student privacy protection in smart campus based on Markov model

Online veröffentlicht: 10. März 2023

Seitenbereich: 2793 - 2806

Eingereicht: 08. März 2022

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00001

SchlüsselwörterMarkov model, Smart campus, Network security, Privacy protection, Intrusion detection system

© 2023 Delu Li, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Markov model, Smart campus, Network security, Privacy protection, Intrusion detection system