Autors: Romansky, R. P., Noninska, I. S.
Title: Architecture of Combined e-Learning Environment and Investigation of Secure Access and Privacy Protection (DOI: 10.4018/IJHCITP.2016070107)
Keywords: eLearning Processes, Security and Privacy, Architecture of e

Abstract: The contemporary digital world based on network communications, globalization and information sharing outlines new important targets in the area of privacy and personal data protection which reflect to applied principles of secure access to proposed information structures. In this reason the aim of secure access to all resources of an e-learning environment is very important and adequate technological and organizational measures for authentication, authorization and protection of personal data must be applied. Strong security procedures should be proposed to protect user’s profiles, designed after successful registration and all personal information collected by educational processes. The goal of this article is to present an idea to combine traditional e-learning technologies with new opportunities that give mobile applications, cloud services and social computing. These technologies can endanger data security since they make possible remote access to resources.

References

    Issue

    International Journal of Human Capital and Information Technology Professionals, vol. 7, issue 3, pp. 89-106, 2016, United States, IGI Global Publ., ISSN 1947-3478

    Copyright IGI Global Publ.

    Цитирания (Citation/s):
    1. S. A. Tkalich, V. I. Burkovsky, O. Ja. Kravets. Comparison of the neural net training algorithms for the emergencies forecasting of technological processes. IOP Conference Series: Materials Science and Engineering, Volume 537, 2019 (International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"), 4–6 April 2019, Krasnoyarsk, Russian Federation (Published online: 25 June 2019); Online ISSN: 1757-899X; Print ISSN: 1757-8981 - 2019 - в издания, индексирани в Scopus или Web of Science
    2. O Ja Kravets, A V Burkovsky and O G Yaskevich. Approach to mathematical simulation of data networking with packet routing. Journal of Physics: Conference Series (APITECH-2019), 1399: 033082; doi: 10.1088/1742-6596/1399/3/033082 - 2019 - в издания, индексирани в Scopus или Web of Science
    3. A V Zimin, I V Burkova, O Ja Kravets, V V Zimin. The mechanism for the generalized dual problem of network programming solving. Journal of Physics: Conference Series (APITECH-2019), 1399: 033031; doi: 10.1088/1742-6596/1399/3/033031 - 2019 - в издания, индексирани в Scopus или Web of Science
    4. Shafagat Mahmudova. Exploring Personal Data Protection Methods with Program Tools, V Republican Conference “Actual multidisciplinary scientific-practical problems of information security”, 29 Nov 2019, pp.70-73. - 2019 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    5. Shafagat Jabrayil Mahmudova. Exploring the Personal Data Protection Methods through Programs. Transactions on Networks and Communications, ISSN: 2054-7420, vol. 8, No. 1, Feb 2020, pp. 1-7. DOI: https://doi.org/10.14738/tnc.81.7682 - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    6. O Ja Kravets, S V Shaytura, A M Minitaeva, I V Atlasov. Analysis of routing processes in telecommunication networks with unsteady flows using Markov processes, May 2020 IOP Conference Series Materials Science and Engineering 862:052005; DOI: 10.1088/1757-899X/862/5/052005 - 2020 - в издания, индексирани в Scopus или Web of Science
    7. Zhu Gao. The Practical Dilemma and Method of Personal Protection in the Era of Big Data, Journal of Physics Conference Series 1574:012107, June 2020; DOI: 10.1088/1742-6596/1574/1/012107 - 2020 - в издания, индексирани в Scopus или Web of Science
    8. Mekovec, R. (2020). Online learning: Student activities and their privacy concerns. 12th International Conference on Education and New Learning Technologies, 6-7 July 2020. In EDULEARN20 Proceedings, ISBN: 978-84-09-17979-4; ISSN: 2340-1117 (pp. 6977-6983). IATED. DOI: 10.21125/edulearn.2020.1806 - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus