期刊名称:Brain. Broad Research in Artificial Intelligence and Neuroscience
印刷版ISSN:2067-3957
出版年度:2017
卷号:8
期号:4
页码:41-64
语种:English
出版社:EduSoft publishing
摘要:As the information age matures, a biometric identification technology will be at the heart of computer interaction with humans and the biosphere in which they reside. Hence, the reliable information security mechanisms are needed to combat the rising magnitude of identity theft. While cryptography is a powerful tool to achieve information security, one of the main challenges in cryptosystems is to maintain the secrecy of the cryptographic keys. Template protection techniques prevent stored reference data from revealing private biometric information and enhance the security of biometric systems against attacks such as identity theft and cross matching. A critical issue in biometric systems is to protect the template of a user which is typically stored in a database or a smart card. The fuzzy vault construct is a challenging biometric cryptosystem that secures both the secret key and the biometric template by binding them within a cryptographic framework. The helper data itself do not leak any information about the biometric template, yet contain sufficient information to align the template and query biometric accurately. This paper reviews the state of the art biometrics Cryptosystems from the Point of Challenging Designs Strategies.
关键词:Security and privacy enhancement; biometric-based cryptography; fuzzy vault; helper data; template protection and challenging designs