SECURITY OF DATA ACCESS IN E-LEARNING SYSTEMS: THREATS AND WAYS TO OVERCOME THEM

The widespread use of e-learning systems in both academic and non-academic
organizations made it necessary to improve both the overall security level and protection against
identity spoofing and cheating. Security is a key issue, as it forms the basis of trust in the online
learning results. There are many risks associated with security, such as confidentiality loss, personal
data compromising, availability, forgery and destruction of materials and learning outcomes. The
paper focus is on the vulnerabilities of learning systems and how to increase data security. The attacks
relevant to the learning systems are presented as well. The paper examines the authentication methods
in e-learning systems, main benefits and disadvantages of each method, highlights the associated
threats, and provides recommendations for selecting a specific method. The paper considers the
threats of academic integrity violation and the technical methods used to protect against them. The
legal framework for the collection and processing of personal data in learning platforms is analyzed
from the perspective of Ukrainian and European Union legislation.