Developing Robust Trust Models for Security and Privacy in Mobile Education Systems
Dilfuza TeshabayevaUzbek State World Languages University, Tashkent, Uzbekistan. d.teshaboyeva@uzswlu.uz; dilfuzateshabayeva4@gmail.com0000-0002-9700-642X
Nargiza TurdievaInternational University of Tourism and Cultural Heritage "Silk Road", Uzbekistan. turdieva@univ-silkroad0000-0001-5424-4113
Sarvar AkobirovaProfessor, Tashkent State University of Law, Uzbekistan. s.akobirova@tsul.uz0000-0003-2526-2835
Ziyodakhon RadjabovaAssociate Professor, Department of Philology, Karshi State University, Uzbekistan. ziyodaxonradjabova@gmail.com0009-0003-1673-3858
Mahbuba XoliyarovaSenior Teacher, Law Enforcement Academy of the Republic of Uzbekistan, Uzbekistan. mahbubaholiarova@gmail.com0000-0003-4586-4067
Matluba ShodiyevaDepartment of Education, Samarkand State Pedagogical Institute, Uzbekistan. matluba_shodiyeva@mail.ru0000-0003-3387-1585
Shakhlo AtakulovaUniversity of Economics and Pedagogy, Karshi, Uzbekistan. shahloatakulova95@gmail.com0000-0002-4934-1768
Dilorom SaliyevaProfessor, Kokand State University, Uzbekistan. solievad78@gmail.com0000-0003-3908-9586
Keywords: Mobile Education Systems, Trust Models, Security, Privacy, Cryptographic Techniques, User Authentication, Behavioral Analysis, Machine Learning, Data Protection, Privacy-Preserving Models.
Abstract
As mobile technologies continue to permeate all aspects of educational systems, protecting privacy and ensuring security becomes critically important. This research considers the development of trust models to improve security and privacy in mobile e-learning systems. This research presents a new framework for assessing and developing trust in mobile university systems. The framework approaches the unique challenges of mobile with the diversity of incorporating trusted (or more trusted) aspects of the mobile dimensions. Advanced cryptographic techniques, along with trusted behavioral profiles and machine learning techniques to guard personal information, secure exchanges, and ascribe trust in user identification and authentication forms the basis of the mobile university proposal. Multiple case studies are used to validate the trust model and demonstrate its effectiveness in reducing exposure and increasing trust. The importance of this research will benefit educators, developers, and policy makers focused on the formation of a secure and reliable mobile academic work platform.