Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks

Area of Science:

• Cybersecurity
• Information Systems
• Sensor Networks

Background:

• Information system security relies heavily on robust key systems.
• Low-quality keys in large-scale heterogeneous sensor networks compromise data security and user privacy.
• High-quality random numbers are essential for generating unpredictable and secure keys.

Purpose of the Study:

• To address the need for high-quality random numbers in multi-sensor network security.
• To propose a new design for an entropy pool that enhances random number generation.
• To improve the security foundation of sensor networks.

Main Methods:

• Developed a new design approach for entropy pool construction.
• Fused chaotic circuits with environmental awareness for entropy sourcing.
• Analyzed potential random source events within sensor networks.
• Utilized sensor device awareness technology to extract genuine random events.

Main Results:

• Devised a high-quality entropy pool construction scheme.
• Achieved a heterogeneous fusion of high-quality entropy sources.
• Demonstrated superior performance compared to traditional random entropy pool designs.
• Met the quantity demands for random entropy sources.

Conclusions:

• The proposed scheme significantly enhances the quality of entropy sources.
• This approach ensures a robust security foundation for multi-sensor networks.
• It effectively addresses the challenges of random number generation in complex sensor environments.