Optical PUF Design for Anti-Counterfeiting in Manufacturing of Metallic Goods

Adam Dachowicz, M. Atallah, Jitesh H. Panchal
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引用次数: 7

Abstract

In the context of globalized supply chains, counterfeiting of manufactured goods is a growing problem. The financial, legal, and reputational costs that counterfeit goods impose on legitimate enterprises have spurred investigation into efficient and robust anti-counterfeiting methodologies. In particular, physically unclonable functions (PUFs) have been applied effectively in several manufacturing areas, especially electronics. However, anti-counterfeiting solutions for generic manufactured goods are often expensive to make and implement, or not robust to minor damage that the goods may sustain during transport and use. In this paper, a framework for developing robust, efficient, and cost-effective optical PUFs for anti-counterfeiting of manufactured metallic goods is proposed, along with an example implementation for 4140-steel parts according to standard ASTM A29. For an input library of 50 steel micrographs, the proposed example PUF is shown to have good robustness to simulated part damage and an estimated classification error rate of less than 1%.
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金属制品制造中防伪的光学PUF设计
在全球化供应链的背景下,制成品的假冒是一个日益严重的问题。假冒商品给合法企业带来的财务、法律和声誉成本促使人们对有效而有力的反假冒方法进行调查。特别是,物理不可克隆功能(puf)已经有效地应用于几个制造领域,特别是电子。然而,针对非专利制成品的防伪解决方案的制作和实施成本往往很高,或者对货物在运输和使用过程中可能遭受的轻微损坏不够有力。本文提出了一种开发坚固、高效、经济的光学puf防伪框架,并根据ASTM A29标准对4140钢零件进行了示例实施。对于一个包含50张钢铁显微图像的输入库,所提出的示例PUF对模拟零件损伤具有良好的鲁棒性,估计分类错误率小于1%。
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