IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i16p2909-d887120.html
   My bibliography  Save this article

Stochastic Approach to Investigate Protected Access to Information Resources in Combined E-Learning Environment

Author

Listed:
  • Radi Romansky

    (Department of Informatics, Faculty of Applied Mathematics and Informatics, Technical University of Sofia, 1000 Sofia, Bulgaria)

Abstract

The digital era expands the scope and application of information technologies, which also affects the forms of e-learning, motivating the development of combined systems with heterogeneous resources and services, including in the cloud. In this vein, the present article investigates the implementation of a set of procedures for maintaining regulated access to resources (identification, authentication, authorization, etc.) in a combined e-learning environment, with the main goal to confirm their effectiveness and correctness. The study was conducted through analytical modelling using stochastic tools from the theory of Petri nets and Markov chains with additional statistical analysis. The application of such a combined approach allows increased research efficiency and better adequacy of the obtained estimates.

Suggested Citation

  • Radi Romansky, 2022. "Stochastic Approach to Investigate Protected Access to Information Resources in Combined E-Learning Environment," Mathematics, MDPI, vol. 10(16), pages 1-12, August.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:16:p:2909-:d:887120
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/16/2909/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/16/2909/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richa Manocha & Taranjeet Duggal & Neeti Rana, 2022. "Exploring DSS for Personality Assessment: Influence of Personality on Citizenship," International Journal of Human Capital and Information Technology Professionals (IJHCITP), IGI Global, vol. 13(1), pages 1-16, January.
    2. Chang Wook Kang & Muhammad Imran & Muhammad Omair & Waqas Ahmed & Misbah Ullah & Biswajit Sarkar, 2019. "Stochastic-Petri Net Modeling and Optimization for Outdoor Patients in Building Sustainable Healthcare System Considering Staff Absenteeism," Mathematics, MDPI, vol. 7(6), pages 1-26, June.
    3. Raices Cruz, Ivette & Lindström, Johan & Troffaes, Matthias C.M. & Sahlin, Ullrika, 2022. "Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis," Computational Statistics & Data Analysis, Elsevier, vol. 176(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arthur Henrique de Andrade Melani & Miguel Angelo de Carvalho Michalski & Carlos Alberto Murad & Adherbal Caminada Netto & Gilberto Francisco Martha de Souza, 2022. "Generalized Stochastic Petri Nets for Planning and Optimizing Maintenance Logistics of Small Hydroelectric Power Plants," Energies, MDPI, vol. 15(8), pages 1-16, April.
    2. Andral, Charly & Douc, Randal & Marival, Hugo & Robert, Christian P., 2024. "The importance Markov chain," Stochastic Processes and their Applications, Elsevier, vol. 171(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:16:p:2909-:d:887120. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.