Stochastic Photoresponse-Driven Perovskite TRNGs for Secure Encryption Systems.

Area of Science:

• Materials Science
• Information Security
• Applied Physics

Background:

• True random numbers are crucial for modern cybersecurity and AI-driven data processing.
• Existing software-based random number generators are vulnerable to advanced computational attacks.
• The proliferation of portable devices necessitates secure, portable true random number generators (TRNGs).

Purpose of the Study:

• To develop compact, low-power, and resilient TRNG devices using novel hybrid materials.
• To enhance information security through robust encryption and authentication methods.
• To explore the potential of TRNGs in implantable devices for personal security.

Main Methods:

• Fabrication of hybrid material-based photodetectors using anionic polymers and perovskites.
• Integration of perovskite photodetectors with simple electronic circuits to create TRNG devices.
• Performance evaluation including random number generation rate, environmental resilience, and NIST validation.

Main Results:

• Developed compact, low-power TRNG devices with a generation rate of 10,000 bits/s without resets.
• Validated the quality of generated random numbers using US National Institute of Standards and Technology (NIST) testing.
• Demonstrated perfect image encryption and operation under external light, even when embedded in biological tissue (pork skin).

Conclusions:

• Hybrid perovskite photodetectors offer a promising platform for high-performance, portable TRNGs.
• These TRNGs provide a secure solution for data encryption and authentication in diverse applications.
• The demonstrated resilience and potential for implantability highlight future applications in personal security and authentication.