The deployment and usage of biometric systems is increasing at a rapid rate as the technology becomes more mature and gains user acceptance. Large-scale civilian applications like Registered Traveler program and US-VISIT program rely heavily on biometric systems as part of its authentication process. Biometric systems are also deployed in commercial applications like Automated Teller Machines (ATM) to replace or complement ATM cards. Securing the user’s biometric information is just as important as securing the biometric system. Improving security of biometric systems does have a positive impact on securing biometric information, but securing the system does not imply that the information is also secure. The technology ecosystem needs to be analyzed taking into account its principle constituents: the biometric system, the biometric process and the biometric information lifecycle. The concept of information lifecycle management has been under development for some time now, but it has not been applied to biometric information. Biometric Information Lifecycle Management refers to a sustainable strategy of maintaining confidentiality, integrity and availability of biometric information and developing policies or its use. The Biometric Information Lifecycle comprises of the following phases: creation, transformation, storage, usage, and disposition. This research is a work in progress which will define the biometric information lifecycle phases, create a taxonomy of attacks on biometric information lifecycle phases, and improve the security and management of biometric information.
Keywords: biometric system, privacy