Automated multi-factor analytics for cheat-proofing attendance-taking
A potential application of smartphone is as a tool to prevent attendance cheating. This paper proposes an automated multi-factor analytics using common smartphone features to identify cheating. The first factor is using Quick Response (QR) code as a unique token for validation. The second factor che...
| Main Authors: | Tachmammedov, S., Hooi, Y.K., Kalid, K.S. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.21771 / |
| Published: |
Association for Computing Machinery
2018
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048486620&doi=10.1145%2f3185089.3185093&partnerID=40&md5=0a4777a62816bd8cced77f731bdbbd79 http://eprints.utp.edu.my/21771/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|