Integrating Smartphone’s Intelligent Techniques on Authentication in Mobile Exam Login Process

Meng, Zhaozong; Lu, Joan; Sawsaa, Ahlam F.

doi:10.1007/978-3-642-40495-5_14

Search citation statements

Order By: Relevance

Paper Sections

Select...

Related Work1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[36] Proposed a model applied in mobile and online exam with two biometric methods first apply face recognition then keystroke dynamic in addition to the traditional authentication method. While [26] used keystroke behavioral biometrics method to accept student login in online exam. [30] Supposed two layers to authenticate student to login and track student during online exam.…”

Section: Related Workmentioning

confidence: 99%

A proposed Iris Recognition Model for Authentication in Mobile Exams

Shdaifat

Obeidallah

Ghazal

et al. 2020

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

Mobile learning is an extended version of e-learning. The revolution of handheld devices had encouraged design courses to be compatible with different mobiles versions, brands and platforms. Mobile exams need more attention to strengthen mobile learning certificates. A major issue with mobile exam is student authentication and identification before and during exam session. With no presence of proctor, more techniques are available to ensure student identification. In this paper, we proposed a model that uses a traditional username and password in addition to the biometric iris recognition technique to verify student identity before and during mobile exams.

show abstract

Section: Related Workmentioning

confidence: 99%