Adversarial Hiding Deception Strategy and Network Optimization Method for Heterogeneous Network Defense

Heterogeneous networks are powerful tools for describing different types of entities and relationships and are more relevant models of complex networks. The study of heterogeneous network defense is of great practical significance for protecting useful networks such as military combat networks and c...

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Autores principales:	Chen Wang, Chengyi Zeng, Hongfu Liu, Jing Chen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	heterogeneous network defense incomplete information adversarial hiding deception strategy genetic algorithm Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/576921bf25bd47c396c50d8e791ebfd5
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id	oai:doaj.org-article:576921bf25bd47c396c50d8e791ebfd5
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spelling	oai:doaj.org-article:576921bf25bd47c396c50d8e791ebfd52021-11-11T15:38:12ZAdversarial Hiding Deception Strategy and Network Optimization Method for Heterogeneous Network Defense10.3390/electronics102126142079-9292https://doaj.org/article/576921bf25bd47c396c50d8e791ebfd52021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2614https://doaj.org/toc/2079-9292Heterogeneous networks are powerful tools for describing different types of entities and relationships and are more relevant models of complex networks. The study of heterogeneous network defense is of great practical significance for protecting useful networks such as military combat networks and critical infrastructure networks. However, a large amount of current research on complex network defense focuses on homogeneous networks under complete information conditions, which often ignore the real conditions such as incomplete information and heterogeneous networks. In this paper, we propose firstly a new adversarial hiding deception strategy for heterogeneous network defense under incomplete information conditions. Secondly, we propose an adversarial hiding deception network optimization method based on a genetic algorithm and design node importance index and a fitness function, which take into account the graph structure information and information about the type of nodes. Finally, we conduct comparison experiments for different defense strategies, and the results show that the proposed strategy and network optimization method are effective at hiding the critical nodes and inducing the attacker to attack the non-important nodes. The generated adversarial hiding deception network has a similar graph structure to the real network.Chen WangChengyi ZengHongfu LiuJing ChenMDPI AGarticleheterogeneous network defenseincomplete informationadversarial hiding deception strategygenetic algorithmElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2614, p 2614 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	heterogeneous network defense incomplete information adversarial hiding deception strategy genetic algorithm Electronics TK7800-8360
spellingShingle	heterogeneous network defense incomplete information adversarial hiding deception strategy genetic algorithm Electronics TK7800-8360 Chen Wang Chengyi Zeng Hongfu Liu Jing Chen Adversarial Hiding Deception Strategy and Network Optimization Method for Heterogeneous Network Defense
description	Heterogeneous networks are powerful tools for describing different types of entities and relationships and are more relevant models of complex networks. The study of heterogeneous network defense is of great practical significance for protecting useful networks such as military combat networks and critical infrastructure networks. However, a large amount of current research on complex network defense focuses on homogeneous networks under complete information conditions, which often ignore the real conditions such as incomplete information and heterogeneous networks. In this paper, we propose firstly a new adversarial hiding deception strategy for heterogeneous network defense under incomplete information conditions. Secondly, we propose an adversarial hiding deception network optimization method based on a genetic algorithm and design node importance index and a fitness function, which take into account the graph structure information and information about the type of nodes. Finally, we conduct comparison experiments for different defense strategies, and the results show that the proposed strategy and network optimization method are effective at hiding the critical nodes and inducing the attacker to attack the non-important nodes. The generated adversarial hiding deception network has a similar graph structure to the real network.
format	article
author	Chen Wang Chengyi Zeng Hongfu Liu Jing Chen
author_facet	Chen Wang Chengyi Zeng Hongfu Liu Jing Chen
author_sort	Chen Wang
title	Adversarial Hiding Deception Strategy and Network Optimization Method for Heterogeneous Network Defense
title_short	Adversarial Hiding Deception Strategy and Network Optimization Method for Heterogeneous Network Defense
title_full	Adversarial Hiding Deception Strategy and Network Optimization Method for Heterogeneous Network Defense
title_fullStr	Adversarial Hiding Deception Strategy and Network Optimization Method for Heterogeneous Network Defense
title_full_unstemmed	Adversarial Hiding Deception Strategy and Network Optimization Method for Heterogeneous Network Defense
title_sort	adversarial hiding deception strategy and network optimization method for heterogeneous network defense
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/576921bf25bd47c396c50d8e791ebfd5
work_keys_str_mv	AT chenwang adversarialhidingdeceptionstrategyandnetworkoptimizationmethodforheterogeneousnetworkdefense AT chengyizeng adversarialhidingdeceptionstrategyandnetworkoptimizationmethodforheterogeneousnetworkdefense AT hongfuliu adversarialhidingdeceptionstrategyandnetworkoptimizationmethodforheterogeneousnetworkdefense AT jingchen adversarialhidingdeceptionstrategyandnetworkoptimizationmethodforheterogeneousnetworkdefense
_version_	1718434798844772352

Adversarial Hiding Deception Strategy and Network Optimization Method for Heterogeneous Network Defense

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