DocumentCode :
3100896
Title :
Bio-metric credential system: Multimodal cancelable anonymous identity management
Author :
Suresh, P. ; Radhika, K.R.
fYear :
2015
fDate :
12-13 June 2015
Firstpage :
353
Lastpage :
356
Abstract :
Digital transactions have permeated almost every sphere of activity in today´s world. This increase in digital transactions has introduced additional and stringent requirements with regard to security and privacy. People reveal lots of personal information by compromising their private credentials during digital interactions. It is imperative that in addition to security of on-line transactions, user credentials must also be safeguarded. This has necessitated the requirement for a rigorous and foolproof credential system with provision for anonymous and revocable identity management system. Biometric system based identity management systems offer advantage over conventional knowledge and possession based systems. Considerable research has been undertaken in the past to identify newer and reliable biometrics for more efficient and secure identity management. Fusion of multiple biometrics to achieve better results is also an area of active research. However, making biometric credential systems revocable and anonymous without sacrificing efficiency and efficacy of detection, still remains a challenge. This survey paper makes an attempt to give an insight into the approaches that have been made in the direction of multimodal biometric fusion and into the various options that have been explored to make biometric authentication systems revocable and anonymous.
Keywords :
biometrics (access control); data privacy; interactive systems; knowledge based systems; security of data; biometric authentication systems; biometric credential system; digital transactions; knowledge based systems; multimodal cancelable anonymous identity management; personal information; possession based systems; privacy; private credentials; security; stringent requirements; Authentication; Bioinformatics; Biomedical imaging; Cryptography; Iris recognition; credential system; multi-modal biometric fusion; revocable and anonymous authentication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
Type :
conf
DOI :
10.1109/IADCC.2015.7154729
Filename :
7154729
Link To Document :
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