Antispoofing Methods for Authenticating Live Users in Biometric System
Abstract: In todays e-commerce world the e-business application require a very high level of authentication; as the existing traditional authenticating methods such as username; password; identity card etc can be easily stolen. To alleviate such problems the new authenticating methods using physiological/behavioral biometrics are emerged. Even the biometrics systems are fooled by spoofing techniques with fake biometric traits such as masked face; iris; fake finger print; hand geometry; voice and many more. Spoofing is an attack when a malicious party impersonates another device or a user on a network/system in order to launch a attacks against new hosts/system. Hence; the anti-spoofing methods required to challenge the intruders of the biometric system. However; spoofing attack is still a fatal threat for biometric authentication systems. Liveness detection; aims at recognition of human physiological activities as the liveness indicator to prevent spoofing attack. This paper presents an overview of different anti-spoofing methods used with biometric system. It also highlights the issues; challenges and applications of biometric systems with anti-spoofing techniques.
Keywords: Authentication, spoofing, biometric, anti-spoof, liveness detection
How to Cite?: Anita Kori, Swathi S. Wali, Sanjeev Kumar M. Hatture, Dr. Suvarna Nandyal, "Antispoofing Methods for Authenticating Live Users in Biometric System", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 2694-2699, https://www.ijsr.net/getabstract.php?paperid=2014896, DOI: https://dx.doi.org/10.21275/2014896