具有FIERO模型的VARNet-6G用于异常检测和提高未来通信系统的网络稳定性
S Sankar Ganesh1, Maha Abdelhaq2, SatheeshKumar Palanisamy3
1Department of Computer Science and Engineering, Kommuri Pratap Reddy Institute of Technology, Ghanpur Village, Ghatesar(M), Medchal, Malkajgiri District, Hyderabad, Telangana, India. sankar2017vmu@gmail.com.
Scientific reports
|October 2, 2025
概括
新技术提高了6G网络的安全性. VARNet-6G提供先进的异常检测,而FIERO则改善了可靠和弹性通信系统的失效率估计.
科学领域:
- 网络安全 网络安全
- 人工智能的人工智能
- 电信工程 电信工程 电信工程
背景情况:
- 向6G通信网络的发展需要强有力的安全措施.
- 网络流量的增加和设备的互连性要求先进的异常检测和中断率估计.
- 现有的异常检测模型在可扩展性,适应性和动态网络数据的高效处理方面扎.
研究的目的:
- 在6G网络中引入用于异常检测和断网率估计的新技术.
- 解决当前安全模型在处理复杂网络环境中的局限性.
- 提高未来6G通信系统的完整性,可靠性和弹性.
主要方法:
- 开发VARNet-6G (用于6G的变量自动编码器和循环变压器网络) 以实现高效的实时异常检测.
- 介绍FIERO (火注入蒸发率优化器),这是一个以自然为灵感的优化技术,用于估计学率.
- 混合方法将深度学习与自然灵感优化相结合,用于网络安全.
主要成果:
- VARNet-6G展示了对顺序数据的高效处理,以进行强大的异常检测.
- FIERO提供高度准确的网络性能估计,提高了网络的弹性.
- 提出的方法显示,在异常检测和学率估计方面,与现有模型相比,显著改进.
结论:
- 拟议的VARNet-6G和FIERO为6G网络安全提供了准确,可扩展和适应的解决方案.
- 混合深度学习和自然灵感优化方法有效地解决了当前的安全挑战.
- 这些进展对于确保未来6G通信网络的完整性和可靠性至关重要.
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