Detection of Impersonation in Remote Online Examination

Author(s):

Harish. R , Valliammai Engineering College; Anirudh. R, Valliammai Engineering College; Kamesh. M, Valliammai Engineering College

Keywords:

Collusion, Facial Recognition, Impersonation, Online Examination, Principal Component Analysis

Abstract:

Online Examination faces many security threats. The threats are of two types, intrusive and non-intrusive. Non-intrusive is the prominent threat faced in remote online examinations. Collusion is a type of non-intrusive threat, where a student invites a third party for impersonation or assistance during the examination. Collusion is comparatively difficult to detect and prevent because of the lack of efficiency and integrity on the part of the external invigilator. So an efficient invigilation mechanism is the need of the hour to ensure the standard of examination and to maintain authentic conduct of examination. We propose to employ Facial Recognition using PCA (Principal Component Analysis) to build such system that overcomes this threat of collusion and perform live identification and authentication of candidate throughout the examination to avoid impersonation.

Other Details:

Manuscript Id	:	IJSTEV3I9080
Published in	:	Volume : 3, Issue : 9
Publication Date	:	01/04/2017
Page(s)	:	197-200

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