Lin Xiaofeng, Li Quhai, Tang Yuqi, Chen Zhaohan, Chen Ruilian, Sun Yingjuan, Lin Wenjing, Yi Guobin, Li Quan
School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Guangdong Provincial Laboratory of Chemistry and Fine Chemical Engineering Jieyang Center, Jieyang, 515200, China.
Adv Sci (Weinh). 2024 Aug;11(31):e2401983. doi: 10.1002/advs.202401983. Epub 2024 Jun 18.
Physical unclonable function (PUF) is attractive in modern encryption technologies. Addressing the disadvantage of slow data storage/authentication in optical PUF is paramount for practical applications but remains an on-going challenge. Here, a highly efficient PUF strategy based on random structural color domains (SCDs) of cellulose nanocrystal (CNC) is proposed for the first time, combing with hyperspectral imaging system (HIS) for ultrafast storage and authentication. By controlling the growth and fusion behavior of the tactoids of CNC, the SCDs display an irregular and random distribution of colors, shapes, sizes, and reflectance spectra, which grant unique and inherent fingerprint-like characteristics that are non-duplicated. Based on images and spectra, these fingerprint features are used to develop two sets of PUF key generation methods, which can be respectively authenticated at the user-end and the manufacturer-front-end that achieving a high coding capacity of at least 2. Notably, the use of HIS greatly shortens the time of key reading and generation (≈5 s for recording, 0.5-0.7 s for authentication). This new optical PUF labels can not only solve slow data storage and complicated authentication in optical PUF, but also impulse the development of CNC in industrial applications by reducing color uniformity requirement.
物理不可克隆函数(PUF)在现代加密技术中颇具吸引力。解决光学PUF中数据存储/认证速度慢的缺点对于实际应用至关重要,但仍是一个持续存在的挑战。在此,首次提出了一种基于纤维素纳米晶体(CNC)随机结构色域(SCD)的高效PUF策略,并与高光谱成像系统(HIS)相结合用于超快存储和认证。通过控制CNC类晶体的生长和融合行为,SCD呈现出颜色、形状、尺寸和反射光谱的不规则且随机分布,赋予其独特且固有的类似指纹的特征,这些特征不可复制。基于图像和光谱,这些指纹特征被用于开发两组PUF密钥生成方法,它们可以分别在用户端和制造商前端进行认证,实现至少2的高编码容量。值得注意的是,HIS的使用极大地缩短了密钥读取和生成的时间(记录约5秒,认证0.5 - 0.7秒)。这种新型光学PUF标签不仅可以解决光学PUF中数据存储缓慢和认证复杂的问题,还可以通过降低颜色均匀性要求推动CNC在工业应用中的发展。