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Bi 2 O 2 Se-Based True Random Number Generator for Security Applications.

Bo LiuYing-Feng ChangJuzhe LiXu LiuLe An WangDharmendra VermaHanyuan LiangHui ZhuYudi ZhaoLain-Jong LiTuo-Hung HouChao Sung Lai
Published in: ACS nano (2022)
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 2 O 2 Se-based memristive TRNG is demonstrated for security applications. Compared with traditional metal-insulator-metal based memristors, or other two-dimensional material-based memristors, the Bi 2 O 2 Se layer as electrode with non-van der Waals interface, high carrier mobility, air stability, extreme low thermal conductivity, as well as vertical surface resistive switching shows intrinsic stochasticity and complexity in a memristive true analogue/digital random number generation. Moreover, those analogue/digital random number generation processes are proved to be resilient for machine learning prediction.
Keyphrases
  • machine learning
  • global health
  • big data
  • endothelial cells
  • electronic health record
  • physical activity
  • artificial intelligence
  • climate change
  • working memory
  • healthcare