| Autor: |
Bo, Liu, Ying-Feng, Chang, Juzhe, Li, Xu, Liu, Le An, Wang, Dharmendra, Verma, Hanyuan, Liang, Hui, Zhu, Yudi, Zhao, Lain-Jong, Li, Tuo-Hung, Hou, Chao-Sung, Lai |
| Rok vydání: |
2023 |
| Zdroj: |
ACS nano. 16(4) |
| ISSN: |
1936-086X |
| Popis: |
The fast development of the Internet of things (IoT) promises to deliver convenience to human life. However, a huge amount of the data is constantly generated, transmitted, processed, and stored, posing significant security challenges. The currently available security protocols and encryption techniques are mostly based on software algorithms and pseudorandom number generators that are vulnerable to attacks. A true random number generator (TRNG) based on devices using stochastically physical phenomena has been proposed for auditory data encryption and trusted communication. In the current study, a Bi |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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