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链路攻击下复杂网络基于边的分布式自适应牵制同步

Edge-Based Decentralized Adaptive Pinning Synchronization of Complex Networks Under Link Attacks.

作者信息

Liu Dan, Ye Dan

出版信息

IEEE Trans Neural Netw Learn Syst. 2022 Sep;33(9):4815-4825. doi: 10.1109/TNNLS.2021.3061137. Epub 2022 Aug 31.

Abstract

This article studies the pinning synchronization problem with edge-based decentralized adaptive schemes under link attacks. The link attacks considered here are a class of malicious attacks to break links between neighboring nodes in complex networks. In such an insecure network environment, two kinds of edge-based decentralized adaptive update strategies (synchronous and asynchronous) on coupling strengths and gains are designed to realize the security synchronization of complex networks. Moreover, by virtue of the edge pinning technique, the corresponding secure synchronization problem is considered under the case where only a small fraction of coupling strengths and gains is updated. These designed adaptive strategies do not require any global information, and therefore, the obtained results in this article are developed in a fully decentralized framework. Finally, a numerical example is provided to verify the availability of the achieved theoretical outcomes.

摘要

本文研究了链路攻击下基于边的分散自适应方案的牵制同步问题。这里考虑的链路攻击是一类恶意攻击,旨在破坏复杂网络中相邻节点之间的链路。在这种不安全的网络环境中,设计了两种基于边的关于耦合强度和增益的分散自适应更新策略(同步和异步),以实现复杂网络的安全同步。此外,借助边牵制技术,考虑了仅更新一小部分耦合强度和增益的情况下相应的安全同步问题。这些设计的自适应策略不需要任何全局信息,因此,本文得到的结果是在完全分散框架下得出的。最后,提供了一个数值例子来验证所取得理论结果的有效性。

相似文献

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Edge-Based Decentralized Adaptive Pinning Synchronization of Complex Networks Under Link Attacks.链路攻击下复杂网络基于边的分布式自适应牵制同步
IEEE Trans Neural Netw Learn Syst. 2022 Sep;33(9):4815-4825. doi: 10.1109/TNNLS.2021.3061137. Epub 2022 Aug 31.
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Fixed-Time Pinning Common Synchronization and Adaptive Synchronization for Delayed Quaternion-Valued Neural Networks.
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