An Improved User Verification in Online Learning Systems Using Behavioral Profile

Paper Title : An Improved User Verification in Online Learning Systems Using Behavioral Profile

Author(s):  P. V. Praveen Sundar, A.V. Senthil Kumar

Published in:  International Journal of Advanced Research in Education & Technology (IJARET)

Volume/Issue:   Vol. 3 Issue 4 (2016), PP: 7-12.

ISSN : 2394-2975

Abstract:

Online learning is an up growing research area in educational domain, it's key success is delivering content over internet and can be accessed by students from anywhere and anytime. In an online learning systems, Each and every student has separate username and password for their learning process. Based on their learning skills, attendance and examination marks, an instructor can decide whether the learner is engaged or disengaged in the course. From the Instructor’s point of view, he can judge the student’s performance using the information stored in their account. The instructor doesn’t have a knowledge of who are actually involving the academic activities. The present method of authenticate the user is username and password authentication.  Username and password Authentication is considered as a static authentication. Using those authentication, we can't validate the logged user is genuine user or not, because anyone who knows the username and password can logged into the system and access the online learning system has a genuine user. Hence we need a dynamic and Continuous Authentication(CA) for an entire logged session. For Continuous Authentication, Key stroke dynamics and Mouse dynamics is considered as an effective authentication procedure in a current atmosphere. The Proposed work analysis the user behavioral profile using Keystroke Dynamics(KD) and Mouse dynamics(MD). The Proposed work has obtained 84% accuracy of identifying the legitimate and imposter users. Hence the proposed work is efficient in authenticating the imposter attacks on online learning system. 

Keywords:  Computer mouse usage characteristics, Key Stroke Dynamics, Mouse dynamics, Behavioral patterns, Continuous Authentication, Improved Genetic Algorithm (IGA)

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To Cite this paper

(P.V. Praveen Sundar and A.V. Senthil Kumar) “An Improved User Verification in Online Learning Systems Using Behavioral Profile”, International Journal of Advanced Research in Education & Technology (IJARET), ISSN: 2394-2975 (Online), ISSN: 2394-6814 (Print), Vol. 3 Issue 4 (2016), Pages:7-12.