Name
Abstract | ||
|---|---|---|
Physical Unclonable Functions (PUFs) have been widely proposed as security primitives to provide device identification and authentication. Recently, PUFs based on Non-volatile Memory (NVM) are widely proposed since the promise of NVMs' wide application. In addition, NVM-based PUFs are considered to be more immune to invasive attack and simulation attack than CMOS-based PUFs. However, the existing NVM-based PUF either shows the unreliability under environmental variations or need extra modifications to the IC manufacturing process. In this work, we propose err-PUF, a novel PUF design based on the cell error rate distribution of STT-RAM. Instead of using the distribution directly, we generate a stable fingerprint based on a novel concept called Error-rate Differential Pair (EDP) without modifications to the read/write circuits. Comprehensive results demonstrate that err-PUF can achieve sufficient reliability under environmental variations, which can significantly impact the cell error rates. Moreover, compared with existing approaches, err-PUF has a higher speed and lower power consumption with negligible overhead. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ASPDAC.2016.7428035 | 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC) |
Keywords | Field | DocType |
physical unclonable functions,security primitives,device identification,authentication,nonvolatile memory,NVM-based PUF,invasive attack,simulation attack,IC manufacturing process,err-PUF,cell error rate distribution,STT-RAM,error-rate differential pair,EDP | Authentication,Computer science,Word error rate,Real-time computing,Robustness (computer science),CMOS,Non-volatile memory,Physical unclonable function,Electronic circuit,Embedded system,Bit error rate | Conference |
ISSN | Citations | PageRank |
2153-6961 | 1 | 0.35 |
References | Authors | |
15 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xian Zhang | 1 | 53 | 12.42 |
| Guangyu Sun | 2 | 1920 | 111.55 |
| Yaojun Zhang | 3 | 300 | 19.42 |
| Yiran Chen | 4 | 3344 | 259.09 |
| Hai Li | 5 | 2435 | 208.37 |
| Wujie Wen | 6 | 300 | 30.61 |
| Jia Di | 7 | 78 | 10.72 |