Cryptographically Secure PseudoRandom Bit Generator for Wearable Technology.

Area of Science:

• Embedded Systems
• Cryptography
• Wearable Technology

Background:

• Development of secure pseudo-random bit generators is crucial for cryptographic applications.
• Existing solutions often lack portability or rely on less robust entropy sources.
• The need for on-the-go, hardware-based random number generation is increasing.

Purpose of the Study:

• To present a prototype wearable Cryptographically Secure PseudoRandom Bit Generator (CSPRBG).
• To explore the use of environmental sensor data (sound and acceleration) as entropy sources for a CSPRBG.
• To evaluate the randomness of generated bits using established statistical tests.

Main Methods:

• Fabrication of a vest prototype integrating a ZYBO Zynq-7010 evaluation board.
• Implementation of a seed generator and hardware-accelerated block cryptographic algorithms (AES, Twofish, 3DES).
• Utilizing microphone and accelerometer data as entropy inputs for the seed generator.
• Analysis of generated pseudo-random binary values using NIST statistical tests and ENT tests.

Main Results:

• Successful implementation of a functional wearable CSPRBG prototype.
• Demonstrated use of sound and acceleration recordings as viable entropy sources.
• Validation of the generated random binary values through rigorous statistical testing.
• Exploration of a System on Chip (SoC) solution for future development.

Conclusions:

• The wearable CSPRBG prototype effectively generates pseudo-random bits using environmental sensor data.
• Hardware implementation of cryptographic algorithms ensures efficient and secure random number generation.
• The proposed system shows potential for integration into a System on Chip (SoC) for enhanced portability and performance.