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DNA replication is initiated at sites containing predefined DNA sequences known as origins of replication. DNA is unwound at these sites by the minichromosome maintenance (MCM) helicase and other factors such as Cdc45 and the associated GINS complex.The unwound single strands are protected by replication protein A (RPA) until DNA polymerase starts synthesizing DNA at the 5’ end of the strand in the same direction as the replication fork. To prevent the replication fork from falling apart,...
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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
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在重播攻击下对分布式共识过的安全分析.

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    这项研究分析了分布式过系统的重复攻击. 我们发现,对于稳定的系统,估计误差仍然是有限的,而不稳定的系统可能会遇到不同的误差,需要检测条件.

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    科学领域:

    • 控制系统工程 控制系统工程
    • 网络安全 网络安全
    • 分布式计算 (Distributed Computing) 是一种分布式计算.

    背景情况:

    • 基于共识的分布式过对于网络系统至关重要.
    • 重复攻击通过操纵传感器数据构成重大威胁.
    • 了解攻击对估计性能的影响至关重要.

    研究的目的:

    • 分析基于共识的分布式过对重复攻击的安全性.
    • 量化重复攻击的隐形性和对估计错误的影响.
    • 在不稳定的系统中开发检测重复攻击的条件.

    主要方法:

    • 在重复攻击下分析分布式估计性能.
    • 使用Kullback-Leibler (K-L) 分歧来衡量攻击的隐形性.
    • 运用利亚普诺夫方程来分析稳定系统中的误差极限.
    • 在不稳定的系统中调查错误共变性.

    主要成果:

    • 对于稳定的系统,估计错误是有限的,可以达到稳定状态,重复攻击被证明是$\epsilon$-stealthy.
    • 对于不稳定的系统,估计误差共变率是指数函数的下界,表明潜在的分歧.
    • 建立了足够的条件来检测不稳定的系统中的重复攻击.

    结论:

    • 重复攻击降低了分布式估计性能,对稳定和不稳定系统产生不同的影响.
    • 重复攻击的隐形性可以使用K-L分歧来量化.
    • 可检测性条件对于确保分布式过对复杂的重播攻击至关重要.