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  • 标题:Hardware Accelerator Approach Towards Efficient Biometric Cryptosystems for Network Security
  • 本地全文:下载
  • 作者:McGuffey, Charles ; Liu, Chen ; Schuckers, Stephanie
  • 期刊名称:Journal of Computing and Information Technology
  • 印刷版ISSN:1330-1136
  • 电子版ISSN:1846-3908
  • 出版年度:2015
  • 卷号:23
  • 期号:4
  • 页码:329-340
  • DOI:10.2498/cit.1002764
  • 语种:English
  • 出版社:SRCE - Sveučilišni računski centar
  • 摘要:Protecting data and its communication is a critical part of the modern network. The science of protecting data, known as cryptography, uses secret keys to encrypt data in a format that is not easily decipherable. However, most commonly secure logons for a workstation connected to a network use passwords to perform user authentication. These passwords are a weak link in the security chain, and are a common point of attack on cryptography schemes. One alternative to password usage for network security is to use a person’s physical characteristics to verify who the person is and unlock the data correspondingly. This study focuses on the Cambridge biometric cryptosystem, a system for performing user authentication based on a user’s iris data. The implementation of this system expanded from a single-core software-only system to a collaborative system consisting of a single core and a hardware accelerator. The experiment takes place on a Xilinx Zynq-7000 All Programmable SoC. Software implementation is performed on one of the embedded ARM A9 cores while hardware implementation makes use of the programmable logic. Our hardware acceleration produced a speedup of 2.2X while reducing energy usage to 47.5 % of its original value for the combined enrolment and verification process. These results are also compared to a many-core acceleration of the same system, providing an analysis of different acceleration methods.
  • 关键词:hardware acceleration; biometric cryptosystem; iris recognition; Reed-Solomon code; Hadamard code
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