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Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
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相关实验视频

Updated: Jan 17, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

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Published on: March 2, 2015

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在DoS和未知欺骗攻击下的NCS的NN-基于事件触发协议.

Xin Wang, Jiangfeng Wang, Jun Cheng

    IEEE transactions on cybernetics
    |September 17, 2025
    PubMed
    概括

    本研究介绍了一个基于神经网络的弹性事件触发控制协议,以确保网络控制系统中输入到状态的稳定性,以应对拒绝服务和欺骗攻击.

    科学领域:

    • 控制系统工程 控制系统工程
    • 网络安全 网络安全
    • 人工智能的人工智能

    背景情况:

    • 网络控制系统 (NCS) 容易受到网络攻击,例如拒绝服务 (DoS) 和欺骗攻击 (DA).
    • 在NCS的资源限制需要有效的控制协议.
    • 在逆境条件下确保系统稳定对于可靠运行至关重要.

    研究的目的:

    • 制定一个强大的控制策略NCSs对联合DoS和DA.
    • 通过智能控制方法提高NCS的弹性和稳定性.
    • 为了解决资源限制,同时保持系统安全.

    主要方法:

    • 设计了一个基于神经网络 (NN) 的弹性事件触发控制协议 (RETCP).
    • 使用NN来中和和近似来自DA的恶意数据.
    • 一个新的预测器被开发来补偿在DoS攻击期间的信号损失.

    主要成果:

    • 拟议的基于NN的RETCP有效地减轻了DoS和DA的影响.
    • 开发的预测器提高了NCS对复杂网络威胁的耐受性.
    • 智能控制协议在联合攻击下实现输入到状态稳定性 (ISS).

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    结论:

    • 基于NN的控制器确保了NCS面临复杂网络攻击的ISS.
    • 拟议的RETCP提供了一种可行的解决方案,用于在具有挑战性的环境中保护NCS.
    • 在无人地面车辆 (UGV) 上的实验验证证证了该协议的有效性.