Security Issues in Big Data Generated in Education Field
Year: 2024
Type: article
Abstract: Now a days BD (Big Data) and IoT (Internet of Things) are popular and mostly used terms in various fields. Education is one of the fields where large amount of data generated due to IoT devices used by Students, Teachers and Institute. Big data in education can originate from a variety of sources. The volume and information gathered and generated from various IoT devices and applications and audio, video, images data by humans, organizations and applications are increasing every second and has almost doubled in year. There are different ways of data generating, we say that is heterogeneous data is generated. Data is gathered from a wide range of sources inside the educational system in order to evaluate the success of educational plans, monitor student growth, student behaviour, and assess student performance. Here we have to systematically look into the security risks associated with big data streaming for Internet of Things devices in Education Fields. These are Data Privacy, Lack of Visibility, Limited Security Integration, Lack of Physical Security, Poor Testing, Open-source Code Vulnerabilities, and Overwhelming Data Volume etc. In this research paper we focus on data generated in Education fields and on Security Issues. Big Data generated in Education fields have security issues and minimizes by applying Framework to minimize the security issues in Education Field. Framework is suggested to minimize the security issues as given below.Keywords: Key Index: Big Data, Analysis, Education fields
Language: English
Topic: Big Data and Digital Economy
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6930641538
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