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将注塑塑料部件的独特表面图案用作基于图像的物理不可克隆功能,以实现对部件的安全识别。

Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification.

作者信息

Wigger Benedikt, Meissner Thomas, Förste Alexander, Jetter Volker, Zimmermann André

机构信息

Hahn-Schickard, Institute for Micro Assembly Technology, Stuttgart, Germany.

Balluff GmbH, Neuhausen a.d.F., Germany.

出版信息

Sci Rep. 2018 Mar 16;8(1):4738. doi: 10.1038/s41598-018-22876-8.

Abstract

A Physical Unclonable Function uses random and inherent properties of a physical entity and can be used to uniquely identify components e.g., for anti-counterfeiting purposes. In this work we demonstrate that the surface patterns of injection moulded plastic components themselves are inherently unique and hence can be used as a PUF for reliable and secure identification. We further demonstrate that these unique surface patterns are easily accessible since they can be photographed with a simple camera set-up. This is exemplarily demonstrated for two different plastic materials on an overall of 200 injection moulded components. A set of brief experiments further examines the PUF's robustness towards real life conditions. This approach might be useful for secure identification and authentication of components or a label-free tracking.

摘要

物理不可克隆功能利用物理实体的随机和固有特性,可用于唯一识别组件,例如用于防伪目的。在这项工作中,我们证明注塑塑料组件本身的表面图案具有固有的独特性,因此可以用作物理不可克隆功能以进行可靠和安全的识别。我们进一步证明,这些独特的表面图案易于获取,因为使用简单的相机设置即可拍摄。在总共200个注塑组件上针对两种不同的塑料材料进行了示例性演示。一组简短的实验进一步检验了物理不可克隆功能对现实生活条件的稳健性。这种方法可能有助于组件的安全识别和认证或无标签追踪。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35eb/5856780/a68ec46126b5/41598_2018_22876_Fig1_HTML.jpg

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