Name
Abstract | ||
|---|---|---|
Physical unclonable functions (PUFs) have attracted attention as authentication techniques for electronic devices. However, the risk of machine learning attacks for PUFs is pointed out. This study proposes a new secure PUF authentication method using secret sharing schemes. The proposed method uses the generated distributed values for the authentication instead of PUF responses. The proposed method improves the resistance against attacks by not communicating raw PUF responses directly. Simulation results showed that the proposed method could improve the resistance against machine learning attacks compared with the conventional simple challenge and response authentication method. Moreover, the area comparison using a Xilinx field programming gate array indicated the proposed method reduced its area by 0.6 times compared with a resistant-PUF. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CCOMS.2019.8821698 | 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) |
Keywords | DocType | ISBN |
security,physical unclonable function,authentication,secret sharing scheme,machine learning attack | Conference | 978-1-7281-1323-4 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nozaki, Y. | 1 | 5 | 11.62 |
| Masaya Yoshikawa | 2 | 25 | 23.93 |