Link-Centric Research on the Capability Resilience of Heterogeneous Information Combat Networks

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-03-28 DOI:10.1109/TNSE.2025.3555384

Renjie Xu;Jiahao Liu;Jichao Li;Kewei Yang

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引用次数: 0

Abstract

The combat system-of-systems (CSoS) in high-tech information warfare consists of multiple interconnected combat entities, which can be abstracted as a complex heterogeneous information combat network (HICN). Research on the capability resilience of a HICN is highly valuable for optimizing network structure, enhancing network survivability, and improving network security. Accordingly, this paper presents an integrated framework called HICN capability resilience framework based on network percolation (HICNCR) for assessing the capability resilience of HICN. Specifically, first, we establish a HICN model of a CSoS, taking into account the heterogeneity of entities as well as the diversity and weight of information flow. Based on this, we present an index called operational capability resilience index (OCRI) to evaluate the capability resilience of HICN. This index directly identifies which CSoS is more resilient when facing identical operational tasks, while simultaneously considering both network structure and function. Finally, we conduct extensive experiments on a military case to demonstrate the effectiveness and superiority of the proposed HICNCR. Compared to natural connectivity and other resilience metrics, it provides more valuable insights to inform the operation and design of more resilient CSoS.

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以链路为中心的异构信息作战网络能力弹性研究

高技术信息战中的作战系统（system-of-systems, cso）由多个相互关联的作战实体组成，这些作战实体可以抽象为一个复杂的异构信息作战网络（HICN）。研究HICN的能力弹性对于优化网络结构、增强网络生存性和提高网络安全性具有重要的意义。据此，本文提出了基于网络渗流的HICN能力弹性框架（HICNCR），用于评价HICN的能力弹性。具体而言，首先，考虑实体的异质性以及信息流的多样性和权重，我们建立了cso的HICN模型。在此基础上，提出了运营能力弹性指数（OCRI）来评价HICN的能力弹性。该指数直接确定哪些cso在面对相同的运营任务时更具弹性，同时考虑网络结构和功能。最后，我们在一个军事案例上进行了大量的实验，以证明所提出的HICNCR的有效性和优越性。与自然连通性和其他弹性指标相比，它为更具弹性的cso的运营和设计提供了更有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.