FFT-RDNet:一种基于时间频率域的入侵检测模型,用于物联网安全
Bingjie Xiang1, Renguang Zheng2, Kunsan Zhang2
1School of Ocean Informattion Engineering, Jimei University, Xiamen 361000, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
FFT-RDNet为物联网 (IoT) 设备提供了一种高效的入侵检测系统 (IDS). 这种新的框架通过精确检测降低计算负载的威胁来增强安全性.
科学领域:
- 网络安全 网络安全
- 网络安全 网络安全
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 资源有限的物联网设备需要高效的入侵检测系统 (IDS) 来应对网络威胁.
- 传统的IDS面临着高计算复杂性和有限的特征提取挑战,影响物联网环境中的准确性.
研究的目的:
- 为资源有限的物联网设备开发一个轻量级的IDS框架,FFT-RDNet.
- 提高物联网环境中入侵检测的准确性和效率.
主要方法:
- 实施了一种混合ADASYN-Tomek Links战略,以应对阶级不平衡.
- 引入了FFT-RDNet,这是一种使用深度可分离卷积和快速里埃转换 (FFT) 进行频域特征融合的新框架.
- 使用双路径特征嵌入模块进行时间和频率域分析,融为2D特征空间.
主要成果:
- 在NSL-KDD和CIC-IDS2018数据集上,FT-RDNet在最先进的IDS上表现优越.
- 在准确性,精度,回忆和F1得分 (0.22-1%) 中取得了显著改善.
- 展示了卓越的准确性,并大大降低了计算复杂性.
结论:
- FFT-RDNet为物联网安全提供了一种高效准确的IDS解决方案.
- 该框架的轻量级设计和有效的功能提取使其成为资源有限的物联网部署的理想选择.
- 在动态物联网生态系统中,FT-RDNet有效地解决了传统IDS的局限性.
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