在物联网和5G/6G网络中通过Sprott混乱振荡器同步的生物灵感优化来实现安全的信号加密
Fouzia Maamri1,2, Hanane Djellab3,4, Sofiane Bououden1,2
1Department of Electrical Engineering, Faculty of Sciences and Technologies, Abbes Laghrour University, Khenchela 40000, Algeria.
Entropy (Basel, Switzerland)
|January 28, 2026
概括
本研究介绍了一种基于混乱的新型加密框架,用于物联网 (IoT) 和5G/6G网络中的安全数据传输. 它使用生物启发的算法来优化同步,增强安全性和减少延迟.
科学领域:
- 密码学和网络安全
- 混沌理论应用 混沌理论应用
- 超启发式优化优化
背景情况:
- 物联网 (IoT) 设备和5G/6G网络的快速增长需要安全,低延迟的数据传输.
- 传统的加密方法在大规模的实时应用中面临着计算复杂性和延迟的挑战.
- 对于新兴的通信技术,需要强大且可扩展的加密解决方案.
研究的目的:
- 为安全和高效的数据传输提出一个基于混乱的加密框架.
- 为了提高同步准确度,并使用生物灵感算法减少计算开销.
- 在混乱系统中评估不同优化算法的性能,以进行参数调整.
主要方法:
- 使用Sprott混乱振荡器生成不可预测的加密信号.
- 采用了Pachycondyla Apicalis算法 (API) 和企搜索优化算法 (PeSOA) 来优化Sprott系统参数.
- 专注于实现精确的发射机接收机同步,以实现安全的通信.
- 模拟了拟议的加密框架,并分析了性能指标.
主要成果:
- 企搜索优化算法 (PeSOA) 显示出优于Pachycondyla Apicalis算法 (API) 的性能.
- 在同步过程中,PeSOA实现了更快的融合速度和更低的根平均平方误差 (RMSE).
- 这种基于混乱的框架有效地提供了强大的,可扩展的,低延迟的加密.
- 优化的同步参数显著提高了加密过程的效率.
结论:
- 拟议的基于混乱的加密框架为物联网和5G/6G环境中的安全数据传输提供了可行的解决方案.
- PeSOA是一种有效的元启发算法,用于优化混乱系统,在同步任务中表现优于API.
- 该框架解决了相互连接系统中对高安全性,低延迟通信的关键需求.
- 这项研究有助于为未来几代网络推进安全通信协议.
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