Secure face recognition for mobile applications

Lovell, Brian C. and Smith, Daniel F. (2014). Secure face recognition for mobile applications. In Maria de Marsico, Michele Nappi and Massimo Tistarelli (Ed.), Face Recognition in Adverse Conditions (pp. 359-386) Hershey, United States: Hershey Information Science Reference. doi:10.4018/978-1-4666-5966-7.ch017


Author Lovell, Brian C.
Smith, Daniel F.
Title of chapter Secure face recognition for mobile applications
Title of book Face Recognition in Adverse Conditions
Place of Publication Hershey, United States
Publisher Hershey Information Science Reference
Publication Year 2014
Sub-type Research book chapter (original research)
DOI 10.4018/978-1-4666-5966-7.ch017
Open Access Status Not Open Access
Series Advances in computational intelligence and robots
ISBN 9781466659674
9781466659667
Editor Maria de Marsico
Michele Nappi
Massimo Tistarelli
Chapter number 17
Start page 359
End page 386
Total pages 28
Total chapters 18
Language eng
Formatted Abstract/Summary
Biometric systems are generally restricted to specialist deployments and require expensive equipment. However, the world has recently experienced the widespread rollout of cheap biometric devices in the form of smart phones and tablets. One of the main drivers for mainstream adoption of biometric technologies is the need to address continuing problems with authenticating to online systems. These mobile devices may now be suitable to provide biometric-based authentication to a wide user population. This chapter discusses the different ways that face recognition can be used on smart mobile devices. The authors highlight the online authentication problem and show how three-factor authentication can address many pressing issues. They also discuss the ways that such a system could be attacked, and focus on replay attacks which have yet to be seriously addressed in the literature. The authors conclude with a brief examination of the current research into addressing replay attacks.
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status UQ

 
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