Invulnerability Measure of a Military Heterogeneous Network Based on Network Structure Entropy

et al. 2020

PLoS ONE

This paper takes new energy vehicles as the research object, building the technical cooperation innovation network of new energy vehicles based on the patent perspective by establishing the related technology patent search expression, and analyzing the processes of the invulnerability and optimization in the actual technology cooperation innovation network by using the simulation analysis method. The research results show that the harmfulness of the degree value priority attack in the technical cooperation innovation network of new energy vehicles is stronger than the weighted degree value priority attack and random attack, and the attacks of the State Grid and other hub nodes have an important impact on the network invulnerability. During the network optimization process of three types of connection preferences, the "weak"-"weak" connection is the best connection mode given the situation of an unweighted network without considering the weight of the connected edge. However, the "strong"-"weak" connection is the best mode given the situation of a weighted network considering the weight of the connected edge. In addition, compared with the weighted network situation, the "strong"-"weak" connection has better network optimization results given the situation of an unweighted network. Finally, we propose counter measures and suggestions to promote the innovation network invulnerability capabilities of technical cooperation in new energy vehicles.

Section: Data Sources and Network Constructionmentioning

confidence: 99%

Section: Invulnerability and Optimization Analysis Of The Technical Cmentioning

confidence: 99%

Research on the invulnerability and optimization of the technical cooperation innovation network based on the patent perspective—A case study of new energy vehicles

Cao

et al. 2020

PLoS ONE

“…Xiue Gao and Keqiu Li propose a new method of evaluating the survivability of military heterogeneous networks, based on network structure entropy. A model of survivability is proposed based on the network irreversibility which considers not only the nodes but also the edges [18].…”

Section: Related Workmentioning

confidence: 99%

A novel SMP-based survivability evaluation metric and approach in wireless sensor network

Zhuang

Shan³

et al. 2019

COMSIS J

In Industrial Internet of Things (IIoT) device and network, wireless sensor network (WSN) is an important component.Routing protocol is the critical component of WSN. As the WSN may be attacked by all kinds of intruders, the survivability of WSN is important to IIoT security. To precisely evaluate the systematic survivability ability under external attack and internal security mechanism,a novel survivability entropy-based quantitative evaluation metric is proposed to calculate the systematic survivability ability of WSN routing protocol. Numerical analysis and simulation experiments are combined to precisely calculate the survivability entropy metric.To validate the evaluation approach, NS2 (Network simulator) is used to simulate the DoS attack and security mechanism in WSN. Experimental results show that the novel survivability evaluation metric and method can precisely evaluate the systematic survivability ability of WSN.

“…Furthermore, the definition of initial load largely depends on the importance of nodes. is implies that the evaluation of node importance is directly related to determining the merits and failures of a cascading failure model [34]. Most of the existing cascading failure models of C2 networks directly use the single index such as degree of the nodes [4,11] or betweenness [35] to quantify the initial load of nodes.…”

Section: Establishing a Cascading Failure Model Formentioning

confidence: 99%

Cascading Failure Model for Command and Control Networks Based on an m-Order Adjacency Matrix

Wang

Mobile Information Systems

et al. 2018

Self Cite

Cascading failure models for command and control networks (C2 networks) continue to be a challenging and important research area. Current solutions share a common limitation because the solutions focus only on the importance of each node in isolation using one index rather than considering the contribution degree of neighboring nodes, which makes the initial load definition inaccurate and affects the cascading invulnerability of the network. To address this limitation, a new cascading failure model for C2 networks is proposed. The new model CFMAdjM, which is based on an m-order adjacency matrix, proposes a method of initial load definition using the contribution degree of m-order neighboring nodes and defines the nonlinear load capacity model according to the nonlinear relationship between load and capacity. Finally, the influence of model parameters on the cascading failure of C2 networks is analyzed through simulation, and the results demonstrate that the new model effectively resists the cascading failure and enhances the survivability of the network by defining the initial load and adjusting the coefficient appropriately.