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

The key system serves as a vital foundation for ensuring the security of information systems. In the presence of a large scale of heterogeneous sensors, the use of low-quality keys directly impacts the security of data and user privacy within the sensor network. Therefore, the demand for high-quality keys cannot be underestimated. Random numbers play a fundamental role in the key system, guaranteeing that generated keys possess randomness and unpredictability. To address the issue of random number requirements in multi-sensor network security, this paper introduces a new design approach based on the fusion of chaotic circuits and environmental awareness for the entropy pool. By analyzing potential random source events in the sensor network, a high-quality entropy pool construction is devised. This construction utilizes chaotic circuits and sensor device awareness technology to extract genuinely random events from nature, forming a heterogeneous fusion of a high-quality entropy pool scheme. Comparatively, this proposed scheme outperforms traditional random entropy pool design methods, as it can meet the quantity demands of random entropy sources and significantly enhance the quality of entropy sources, ensuring a robust security foundation for multi-sensor networks.

Automated summary

This paper introduces a new design approach for constructing a high-quality entropy pool based on chaotic circuits and environmental awareness, addressing the random number requirements in multi-sensor network security. By analyzing potential random source events, this scheme utilizes sensor device awareness technology to extract genuinely random events from nature, forming a high-quality heterogeneous fusion entropy pool. The results show that this proposed scheme outperforms traditional methods, meeting the random entropy source demands of multi-sensor networks.