Security and Privacy Frameworks for Mobile Internet Services in Ubiquitous Computing Environments for Smart Classrooms in Educational Institutions
Dilrabo BakhronovaUzbekistan State World Languages University, Tashkent, Uzbekistan. dbaxronova@uzswlu.uz0000-0002-2012-7426
Malakhat SaipovaUniversity of Public Security of the Republic of Uzbekistan, Tashkent, Uzbekistan. saipovamalohat1976@gmail.com0009-0006-5785-9774
Diyor TursunovJizzakh State Pedagogical University, Jizzakh, Uzbekistan. diyor-tursunov@mail.ru0000-0002-6391-717X
Mirzohid JaynaqovAndijan State University, Adijan, Uzbekistan. mirzohidjaynaqov@gmail.com0009-0008-9125-6357
Rano KhurramovaTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan. xurramovarano871@gmail.com0009-0001-8661-2344
Dilbar NurmukhamedovaGulistan State University, Gulistan, Uzbekistan. d88727703@gmail.com0009-0008-8080-2156
Nilufar YuldashovaSamarkand Institute of Economics and Service, Samarkand, Uzbekistan. yuldashovan04@gmail.com0000-0001-9646-4640
Khayriddin BerdievTashkent State Technical University, Tashkent, Uzbekistan. 20berdiev20@gmail.com0000-0002-7790-9912
Keywords: Smart Classrooms, Mobile Internet Services, Ubiquitous Computing, Security Frameworks, Privacy Protection, Educational Institutions, IoT Security.
Abstract
In the contemporary learning setting, ubiquitous computing technologies and mobile internet services have radically changed the manner in which smart classrooms are being conducted. Nevertheless, the security and privacy issues of the widespread application of mobile devices and IoT in these settings have become a critical concern. The study will deal with these issues by suggesting all-inclusive security and privacy frameworks in relation to mobile internet services within the educational institutes. The research methodology will involve a critical review of the current security measures and then developing a new security system that will integrate real-time security systems, data encryption procedures, and access control systems. A qualitative and quantitative analysis was used, and the priority was put on such indicators as the integrity of data, system resilience, and user privacy. Experimental testing of the proposed framework was carried out in the simulated smart classroom setting where real-time datasets on the behavior of the devices, communication patterns, and user interactions were performed. The findings suggest that the suggested framework has a beneficial effect on the security and privacy of the mobile internet services, and the cases of the data breach decrease by 40, and the system performance becomes high with minimal latency. The study also ends up with the implications of the findings and creating possible future research directions, including the investigation of state-of-the-art AI-driven security feature in smart classrooms.