| Title | Adaptive E-Learning Authentication and Monitoring |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Jagadamba, G, Sheeba, R, Brinda, K N, Rohini, K C, Pratik, S K |
| Conference Name | 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) |
| Date Published | mar |
| Keywords | Adaptive systems, authenication, authentication, E-learning, Electronic learning, face recognition, Human Behavior, human factors, keystroke dynamics, Metrics, Monitoring, monitoring system, multifactor authentication, pubcrawl, resilience, Resiliency, Training |
| Abstract | E-learning enables the transfer of skills, knowledge, and education to a large number of recipients. The E-Learning platform has the tendency to provide face-to-face learning through a learning management system (LMS) and facilitated an improvement in traditional educational methods. The LMS saves organization time, money and easy administration. LMS also saves user time to move across the learning place by providing a web-based environment. However, a few students could be willing to exploit such a system's weakness in a bid to cheat if the conventional authentication methods are employed. In this scenario user authentication and surveillance of end user is more challenging. A system with the simultaneous authentication is put forth through multifactor adaptive authentication methods. The proposed system provides an efficient, low cost and human intervention adaptive for e-learning environment authentication and monitoring system. |
| DOI | 10.1109/ICIMIA48430.2020.9074955 |
| Citation Key | jagadamba_adaptive_2020 |
Adaptive E-Learning Authentication and Monitoring