Zhang Jinxin, Wu Meng
Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian 223000, China.
School of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Sensors (Basel). 2023 Oct 16;23(20):8497. doi: 10.3390/s23208497.
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.
密钥系统是确保信息系统安全的重要基础。在存在大规模异构传感器的情况下，使用低质量密钥会直接影响传感器网络内的数据安全和用户隐私。因此，对高质量密钥的需求不可低估。随机数在密钥系统中起着基础性作用，确保生成的密钥具有随机性和不可预测性。为解决多传感器网络安全中的随机数需求问题，本文引入了一种基于混沌电路与环境感知融合的熵池新设计方法。通过分析传感器网络中的潜在随机源事件，设计了一种高质量的熵池构造。这种构造利用混沌电路和传感器设备感知技术从自然中提取真正的随机事件，形成一种高质量熵池方案的异构融合。相比之下，该方案优于传统的随机熵池设计方法，因为它能够满足随机熵源的数量需求，并显著提高熵源质量，为多传感器网络确保强大的安全基础。
