公开(公告)号：US20240169100A1

公开(公告)日：2024-05-23

申请号：US18179385

申请日：2023-03-07

申请人： Wenzhou University

发明人： Gang LI ,  Hui Li ,  Pengjun WANG ,  Xilong Shao ,  Hao Ye

IPC分类号： G06F21/75 ,  H04L9/32

CPC分类号： G06F21/75 ,  H04L9/3278

摘要： A machine learning attack resistant strong PUF with a dual-edge sampling function comprises switch units, a first arbiter and a second arbiter. The first arbiter is for determining a sequential order of delays at a rising edge of signals input to a first input terminal and a second input terminal of the first arbiter. The second arbiter is for determining a sequential order of delays at a falling edge of signals input to a first input terminal and a second input terminal of the second arbiter. Each switch unit is composed of eight MOS transistors. The strong PUF has a high capacity to resist machine learning attacks and small hardware expenditure through simple structural design of the switch units, realizing machine learning attack resistance and small hardware expenditure at the same time, and generating a large number of challenge response pairs through dual-edge sampling realized by the two arbiters.