Data Privacy Using Dynamic Multi-Layer Authentication Mechanism in Open Learning Environment

Authors

  • Anuratha R Mannar Thirumalai Naicker College, Govt. Arts College for Women, Sivagangai Tamil Nadu, India
  • Durga MG Mannar Thirumalai Naicker College, Govt. Arts College for Women, Sivagangai Tamil Nadu, India

DOI:

https://doi.org/10.26438/ijcse/v6si8.7780

Keywords:

Authentication, Access Control, Massive Open Online Course, Open Educational Resource, Responsive Open Learning, Environment, Self-Regulated Learning

Abstract

Cloud computing, delivers abundant services between Cloud Service Providers (CSP) and Cloud Users (CU) on a demand basis in metered service without having the underlying infrastructure with the help of Internet. This ease will increase the cloud users day by day to adopt cloud model. Technological advancements, specially Information Communication Technology (ICT) and cloud computing, transform traditional teaching and learning practices into blended learning. Due to the fabulous development of Massive Open Online Courses (MOOC) and Open Educational Resources (OER), more attention and efforts are crucial to the security procedures for massive open online courses. Authentication of the users to the cloud service is mandatory, because it eliminates the risks and attacks found in the cloud services. Password is widely used for user authentication because of its simplicity. Frequently changing password is a tedious work. Simple passwords are easily hacked, but complicated one is hard to memorize. To overcome this, we suggest Personally Identifiable Information (PII) for the purpose of Authentication. In this paper, we propose a security model using Dynamic Multi-Layer Authentication Mechanism, which is based on user’s personally identifiable information

References

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Published

2025-11-17
CITATION
DOI: 10.26438/ijcse/v6si8.7780
Published: 2025-11-17

How to Cite

[1]
R. Anuratha and M. G. Durga, “Data Privacy Using Dynamic Multi-Layer Authentication Mechanism in Open Learning Environment”, Int. J. Comp. Sci. Eng., vol. 6, no. 8, pp. 77–80, Nov. 2025.

Issue

Vol. 6 No. 8 (2018): IJCSE Special Issue October Edition

Section

Research Article

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