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Article type: Research Article
Authors: Dinesh, E.a; * | Sivakumar, M.b | Rajalakshmi, R.c | Sivakumar, P.d
Affiliations: [a] Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur | [b] Department of Artificial Intelligence and Data Science, Kongunadu College of Engineering and Technology, Trichy | [c] Electronics and Communication Engineering, Ramco Institute of Technology, Rajapalayam | [d] Electronicsand Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar
Correspondence: [*] Corresponding author. E. Dinesh, Assistant Professor, Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur. E-mail: edinesh.elango@gmail.com.
Abstract: Due to the COVID-19 virus, many educational institutions now encourage online learning. The National Program of Technology Enabled Learning (NPTEL) is a web portal that is used for e-learning applications. With this online course, students can access the lectures of all the respected experts from the best universities at any time and from any location. Due to privacy and security issues, many educational systems are hesitant to adopt the cloud. To avoid security issues, in this paper, a trust-based access control data hybrid cryptography model is proposed. The proposed system mainly focused on data confidentiality and the authentication process. For data security, the hybrid Attribute-Based Encryption and Elliptical Curve Cryptography (ABE-ECC) algorithm is presented. Besides, for authentication, trust-based access control is introduced. The trust of the user is calculated using three parameters: the number of successful/failed interactions, the service satisfaction index, and the level of dishonesty. The performance of the proposed method is analyzed based on different metrics, namely throughput, latency, successful rate, service utilization, encryption time, decryption time, and retrieval time.
Keywords: Trust, authentication, attribute-based encryption, elliptical curve cryptography, e-learning, education
DOI: 10.3233/JIFS-224287
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 5, pp. 7563-7573, 2023
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