首页> 外文期刊>Journal of Lightwave Technology >Experimental Study of Machine-Learning-Based Detection and Identification of Physical-Layer Attacks in Optical Networks
【24h】

Experimental Study of Machine-Learning-Based Detection and Identification of Physical-Layer Attacks in Optical Networks

机译:基于机器学习的光网络物理层攻击检测与识别实验研究

获取原文
获取原文并翻译 | 示例
           

摘要

Optical networks are critical infrastructure supporting vital services and are vulnerable to different types of malicious attacks targeting service disruption at the optical layer. Due to the various attack techniques causing diverse physical-layer effect
机译:光网络是支持重要服务的关键基础架构,并且容易受到针对光层服务中断的各种类型的恶意攻击的攻击。由于各种攻击技术引起了不同的物理层效应

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号