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相关概念视频

Reducing Line Loss01:18

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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
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Machines: Problem Solving I01:22

Machines: Problem Solving I

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
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Neural Regulation01:37

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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相关实验视频

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深度学习的有效性与基于狐优化器的特征选择模型,以确保物联网环境中的网络攻击检测.

Mimouna Abdullah Alkhonaini1

  • 1Department of Computer Science, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia. mkhonaini@psu.edu.sa.

Scientific reports
|August 6, 2025
PubMed
概括

本研究介绍了一种基于福克斯优化器的特征选择与深度学习以确保网络攻击检测 (FOFSDL-SCD) 模型,以增强物联网 (IoT) 网络安全. 这种新的方法显著提高了智能城市网络中威胁检测准确性和弹性.

关键词:
网络攻击检测和检测网络安全 网络安全数据预处理数据预处理深度学习是一种深度学习.泥甲虫优化优化 泥甲虫优化功能选择 功能选择这就是为什么物联网物联网物联网.

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科学领域:

  • 网络安全 网络安全
  • 人工智能的人工智能
  • 物联网 (IoT) 的物联网 (IoT) 的物联网.

背景情况:

  • 智能城市利用物联网 (IoT) 设备提高效率和可持续性.
  • 物联网在智能城市的普及引入了关键的网络安全挑战,包括数据泄露和未经授权的访问.
  • 现有的网络安全措施需要先进的技术来有效保护相互连接的物联网系统.

研究的目的:

  • 开发和评估一种用于增强物联网网络网络安全的新型模型.
  • 提高智能城市基础设施对抗网络攻击的弹性和威胁检测能力.
  • 为智能网络安全解决方案分析先进的深度学习技术.

主要方法:

  • 提出了一种基于Fox优化器的特征选择与深度学习以确保网络攻击检测 (FOFSDL-SCD) 模型.
  • 数据预处理涉及最小至最大的规范化;特征选择使用了狐优化算法 (FOA).
  • 使用时间卷积网络 (TCN) 进行分类,超参数通过灰虫优化 (DBO) 进行优化.

主要成果:

  • 在Edge-IIoT数据集上,FOFSDL-SCD模型实现了卓越的性能.
  • 该模型显示了高精度 (99.38%),精度 (96.27%),回忆 (96.26%) 和F1-Score (96.27%).
  • 对比分析证实,FOFSDL-SCD方法的表现优于现有的网络安全模型.

结论:

  • FOFSDL-SCD模型为在物联网环境中检测网络攻击提供了强大而有效的解决方案.
  • 福克斯优化器和深度学习的整合大大提高了物联网网络安全性.
  • 这项研究有助于推进智慧城市的智能网络安全战略.