Detection Of Impersonation In Online Examinations Using Blockchain
S Aishwarya, S. Thanga Ramya, S. Subhiksha, S. Samundeswari · 2020
Impersonation is a significant problem in online examinations. An efficient invigilation mechanism is the need of the hour to ensure the standard of examination and to maintain the authentic conduct of the examination[2]. Hence, we propose dynamic face authentication using the Viola-Jones algorithm and SVM to check the integrity of the candidate in the beginning of the examination. After the examination, the student is evaluated automatically by the system and a valid score report is generated i.e. an E-certificate. The fabrication of data on the certificate has become a very easy task, which reduces the credibility of the examination. Thus, we also propose an anti-forge mechanism to cut the counterfeiting of certificates. Blockchain provides greater security, improved traceability, better security, and encrypted data features[5]. By using blockchain, a forged or duplicated certificate can be detected. The candidate's credentials are stored in the blockchain by making use of hash values and are validated for duplication.