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首页> 外文期刊>IEEE transactions on very large scale integration (VLSI) systems >Securing Hardware Accelerators for CE Systems Using Biometric Fingerprinting
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Securing Hardware Accelerators for CE Systems Using Biometric Fingerprinting

机译:使用生物识别指纹识别确保CE系统的硬件加速器

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摘要

This article presents a novel methodology to secure hardware accelerators (such as digital signal processing (DSP) and multimedia intellectual property (IP) cores) against ownership threats/IP piracy using biometric fingerprinting. In this approach, an IP vendor's biometric fingerprint is first converted into a corresponding digital template, followed by embedding fingerprint's digital template into the design in the form of secret biometric constraints; thereby generating a secured hardware accelerator design. The results report the following qualitative and quantitative analysis of the proposed biometric fingerprint approach: 1) impact of 11 different fingerprints on probability of coincidence (Pc) metric. As evident, the proposed approach achieves a very low Pc value in the range of 2.22E-3 to 4.35E-6. Further, the biometric fingerprint achieves total constraints size between minimum 350 bits to maximum 895 bits; 2) impact of six different resource constraints on the design cost overhead of JPEG compression hardware postembedding biometric fingerprint. As evident, for all the resource constraints implemented, the design cost overhead is 0%; and 3) comparative analysis of proposed biometric fingerprint with recent work, for five different signature strength values, in terms of Pc. As evident, the proposed approach achieves minimum 3.9E+2 times and maximum 6.9E+4 times lower Pc, when compared to recent work.
机译:本文提出了一种新颖的方法,以保护硬件加速器(例如数字信号处理(DSP)和多媒体知识产权(IP)核心)使用生物识别指纹识别的所有权威胁/知识产权盗版。在这种方法中,首先将IP供应商的生物识别指纹转换为相应的数字模板,然后以秘密生物识别约束的形式嵌入指纹的数字模板;从而产生安全的硬件加速器设计。结果报告了拟议的生物识别指纹方法以下定性和定量分析:1)11种不同指纹对巧合(PC)度量概率的影响。显而易见的是,所提出的方法在2.22E-3至4.35E-6的范围内实现了非常低的PC值。此外,生物识别指纹达到最小350位之间的总约束大小至最大895位; 2)六种不同资源限制对JPEG压缩硬件Postembedding BietCric指纹设计成本开销的影响。就明,对于实现的所有资源限制,设计成本开销为0%; 3)对近期工作的拟议生物识别指纹的比较分析,在PC方面进行五种不同的签名强度值。与最近的工作相比,所提出的方法达到最低3.9E + 2次,最高6.9e + 4倍,最高+ 4倍。

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