Chang Qiang, Ma Tianqi, Yang Wenzhong
Xinjiang Transportation Investment Technology Co. Ltd, Urumqi, 830000, XinJiang, China.
School of Computer Science and Technology (School of cyberspace Security), XinJiang University, Huarui street, Urumqi, 10587, China.
Sci Rep. 2025 Apr 25;15(1):14485. doi: 10.1038/s41598-025-98905-0.
In modern edge scenarios, the security of sensor networks plays a pivotal role in ensuring the safe communication of IoT data. Therefore, deploying encryption algorithms among edge devices is of paramount importance. However, most existing research predominantly emphasizes the efficiency of data transmission while often overlooking critical aspects of data integrity and confidentiality. The communication between sensor nodes and from sensors to end nodes necessitates additional robust security measures.This paper presents an enhanced approach to the RSA and AES algorithms, tailored for deployment on low-energy IoT devices commonly found in edge environments. The improved AES algorithm transitions from a single-threaded encryption and decryption process to a three-threaded design, reducing the ten-round operation to seven rounds to enhance both speed and energy efficiency. The enhanced RSA algorithm replaces the traditional dual-prime system with a triple-prime system, increasing the number of primes while reducing the bit length of each prime. This modification optimizes computational efficiency and strengthens security.Furthermore, we investigate the feasibility of integrating the RSA and AES algorithms and propose a novel RSA-AES hybrid algorithm MRA. This fusion approach leverages the strengths of both algorithms, encrypting the AES key using the improved RSA algorithm to bolster data security while maintaining efficient transmission.Performance evaluations of the RSA-AES hybrid algorithm demonstrate its exceptional capability in securing data transmission within edge scenarios,and the security of this hybrid algorithm is analyzed. The experimental results highlight that this algorithm not only ensures robust data security but also achieves high transmission efficiency, offering a reliable and practical solution for secure communication in edge environments.
在现代边缘场景中,传感器网络的安全性对于确保物联网数据的安全通信起着关键作用。因此,在边缘设备之间部署加密算法至关重要。然而,大多数现有研究主要强调数据传输的效率,而常常忽略数据完整性和保密性的关键方面。传感器节点之间以及从传感器到终端节点的通信需要额外强大的安全措施。本文提出了一种针对RSA和AES算法的增强方法,专为部署在边缘环境中常见的低能耗物联网设备而设计。改进后的AES算法从单线程加密和解密过程转变为三线程设计,将十轮操作减少到七轮,以提高速度和能源效率。增强后的RSA算法用三素数系统取代传统的双素数系统,增加素数数量同时缩短每个素数的比特长度。这种修改优化了计算效率并增强了安全性。此外,我们研究了整合RSA和AES算法的可行性,并提出了一种新颖的RSA-AES混合算法MRA。这种融合方法利用了两种算法的优势,使用改进后的RSA算法对AES密钥进行加密,以增强数据安全性同时保持高效传输。对RSA-AES混合算法的性能评估证明了其在边缘场景中保障数据传输的卓越能力,并对这种混合算法的安全性进行了分析。实验结果表明,该算法不仅确保了强大的数据安全性,还实现了高传输效率,为边缘环境中的安全通信提供了可靠且实用的解决方案。