Back to Search Start Over

Silicon Vacancies Diamond/Silk/PVA Hierarchical Physical Unclonable Functions for Multi‐Level Encryption

Authors :
Fuhang Jiao
Chaonan Lin
Lin Dong
Xin Mao
Yi Wu
Fuying Dong
Zhenfeng Zhang
Junlu Sun
Shunfang Li
Xun Yang
Kaikai Liu
Lijun Wang
Chong‐Xin Shan
Source :
Advanced Science, Vol 11, Iss 23, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract Physical unclonable functions (PUFs) have emerged as a promising encryption technology, utilizing intrinsic physical identifiers that offer enhanced security and tamper resistance. Multi‐level PUFs boost system complexity, thereby improving system reliability and fault tolerance. However, crosstalk‐free multi‐level PUFs remain a persistent challenge. In this study, a hierarchical PUF system that harnesses the spontaneous phase separation of silk fibroin /PVA blend and the random distribution of silicon‐vacancy diamonds within the blend is presented. The thermodynamic instability of phase separation and inherent unpredictability of diamond dispersion gives rise to intricate random patterns at two distinct scales, enabling time‐efficient hierarchical authentication for cryptographic keys. These patterns are complementary yet independent, inherently resistant to replication and damage thus affording robust security and reliability to the proposed system. Furthermore, customized authentication algorithms are constructed: visual PUFs authentication utilizes neural network combined structural similarity index measure, while spectral PUFs authentication employs Hamming distance and cross‐correlation bit operation. This hierarchical PUF system attains a high recognition rate without interscale crosstalk. Additionally, the coding capacity is exponentially enhanced using M‐ary encoding to reinforce multi‐level encryption. Hierarchical PUFs hold significant potential for immediate application, offering unprecedented data protection and cryptographic key authentication capabilities.

Details

Language :
English
ISSN :
21983844 and 34692568
Volume :
11
Issue :
23
Database :
Directory of Open Access Journals
Journal :
Advanced Science
Publication Type :
Academic Journal
Accession number :
edsdoj.7dbc79d4abb84cda8c4973d34692568b
Document Type :
article
Full Text :
https://doi.org/10.1002/advs.202308337