Mixed Strategy Analysis in Attack-Defense Game Model Based on 5G Heterogeneous Network of CPS Using ncPSO

The development of the 5th Generation Mobile Communication Technology not only brings convenience to people but also brings many network security problems. Based on the static game theory of complete information, a game model of attack and defense with limited resources in heterogeneous networks of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Security and communication networks 2022-11, Vol.2022, p.1-15
Hauptverfasser: Liu, Ning, Chai, Qing-Wei, Liu, Shangkun, Meng, Fanying, Zheng, Wei-Min
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 15
container_issue
container_start_page 1
container_title Security and communication networks
container_volume 2022
creator Liu, Ning
Chai, Qing-Wei
Liu, Shangkun
Meng, Fanying
Zheng, Wei-Min
description The development of the 5th Generation Mobile Communication Technology not only brings convenience to people but also brings many network security problems. Based on the static game theory of complete information, a game model of attack and defense with limited resources in heterogeneous networks of Cyber Physical Systems is established. This model analyzes the basic rules of the offensive and defensive strategies of both parties when the offensive and defensive resources are limited in the 5th Generation Mobile Communication Technology network environment. The model can also describe the interaction between attackers and defenders. A novel compact particle swarm optimization algorithm is proposed to solve the difficult problem of solving the Nash equilibrium of this game model. The simulation experiment proves that novel compact particle swarm optimization algorithm has good optimization ability and shows that the algorithm can effectively solve the Nash equilibrium of the model. The simulation experiment provides a strategic reference for the attack-defense game with limited resources.
doi_str_mv 10.1155/2022/1181398
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2737949930</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2737949930</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-96b6ada3f4026a7abb25a4163eb158fd2c11a2a38f526fcab52c3773aca8f59d3</originalsourceid><addsrcrecordid>eNp9kMtOAjEUhhujiYjufIAmLnWkl7nQJaKCCQgJsp6c6bRYLq22JcjbOwTi0tU5OfnOn_wfQreUPFKaZR1GGOtQ2qVcdM9QiwouEkIZO__baXqJrkJYEpLTtEhbyIzNj6rxLHqIarHHPQvrfTABG4t7MYJcJc9KKxsUHsBG4bGr1Ro_QWienMXZAA9VVN4tlFVuG_C7ijvnV9hp3J_O8DwYu8BWTmeTa3ShYR3UzWm20fz15aM_TEaTwVu_N0ok50VMRF7lUAPXKWE5FFBVLIOU5lxVNOvqmklKgQHv6ozlWkKVMcmLgoOE5iRq3kZ3x9wv7763KsRy6ba-qRVKVvBCpEJw0lAPR0p6F4JXuvzyZgN-X1JSHmSWB5nlSWaD3x_xT2Nr2Jn_6V_SznK6</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2737949930</pqid></control><display><type>article</type><title>Mixed Strategy Analysis in Attack-Defense Game Model Based on 5G Heterogeneous Network of CPS Using ncPSO</title><source>EZB-FREE-00999 freely available EZB journals</source><source>Wiley Online Library (Open Access Collection)</source><source>Alma/SFX Local Collection</source><creator>Liu, Ning ; Chai, Qing-Wei ; Liu, Shangkun ; Meng, Fanying ; Zheng, Wei-Min</creator><contributor>Huang, Yuanyuan ; Yuanyuan Huang</contributor><creatorcontrib>Liu, Ning ; Chai, Qing-Wei ; Liu, Shangkun ; Meng, Fanying ; Zheng, Wei-Min ; Huang, Yuanyuan ; Yuanyuan Huang</creatorcontrib><description>The development of the 5th Generation Mobile Communication Technology not only brings convenience to people but also brings many network security problems. Based on the static game theory of complete information, a game model of attack and defense with limited resources in heterogeneous networks of Cyber Physical Systems is established. This model analyzes the basic rules of the offensive and defensive strategies of both parties when the offensive and defensive resources are limited in the 5th Generation Mobile Communication Technology network environment. The model can also describe the interaction between attackers and defenders. A novel compact particle swarm optimization algorithm is proposed to solve the difficult problem of solving the Nash equilibrium of this game model. The simulation experiment proves that novel compact particle swarm optimization algorithm has good optimization ability and shows that the algorithm can effectively solve the Nash equilibrium of the model. The simulation experiment provides a strategic reference for the attack-defense game with limited resources.</description><identifier>ISSN: 1939-0114</identifier><identifier>EISSN: 1939-0122</identifier><identifier>DOI: 10.1155/2022/1181398</identifier><language>eng</language><publisher>London: Hindawi</publisher><subject>5G mobile communication ; Algorithms ; Connectivity ; Cyber-physical systems ; Cybercrime ; Defense ; Equilibrium ; Game theory ; Optimization ; Particle swarm optimization ; Simulation ; Software ; Wireless communications</subject><ispartof>Security and communication networks, 2022-11, Vol.2022, p.1-15</ispartof><rights>Copyright © 2022 Ning Liu et al.</rights><rights>Copyright © 2022 Ning Liu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-96b6ada3f4026a7abb25a4163eb158fd2c11a2a38f526fcab52c3773aca8f59d3</citedby><cites>FETCH-LOGICAL-c337t-96b6ada3f4026a7abb25a4163eb158fd2c11a2a38f526fcab52c3773aca8f59d3</cites><orcidid>0000-0001-5587-0589 ; 0000-0001-9041-4300 ; 0000-0001-5728-5092 ; 0000-0003-2907-0662 ; 0000-0003-3860-4208</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><contributor>Huang, Yuanyuan</contributor><contributor>Yuanyuan Huang</contributor><creatorcontrib>Liu, Ning</creatorcontrib><creatorcontrib>Chai, Qing-Wei</creatorcontrib><creatorcontrib>Liu, Shangkun</creatorcontrib><creatorcontrib>Meng, Fanying</creatorcontrib><creatorcontrib>Zheng, Wei-Min</creatorcontrib><title>Mixed Strategy Analysis in Attack-Defense Game Model Based on 5G Heterogeneous Network of CPS Using ncPSO</title><title>Security and communication networks</title><description>The development of the 5th Generation Mobile Communication Technology not only brings convenience to people but also brings many network security problems. Based on the static game theory of complete information, a game model of attack and defense with limited resources in heterogeneous networks of Cyber Physical Systems is established. This model analyzes the basic rules of the offensive and defensive strategies of both parties when the offensive and defensive resources are limited in the 5th Generation Mobile Communication Technology network environment. The model can also describe the interaction between attackers and defenders. A novel compact particle swarm optimization algorithm is proposed to solve the difficult problem of solving the Nash equilibrium of this game model. The simulation experiment proves that novel compact particle swarm optimization algorithm has good optimization ability and shows that the algorithm can effectively solve the Nash equilibrium of the model. The simulation experiment provides a strategic reference for the attack-defense game with limited resources.</description><subject>5G mobile communication</subject><subject>Algorithms</subject><subject>Connectivity</subject><subject>Cyber-physical systems</subject><subject>Cybercrime</subject><subject>Defense</subject><subject>Equilibrium</subject><subject>Game theory</subject><subject>Optimization</subject><subject>Particle swarm optimization</subject><subject>Simulation</subject><subject>Software</subject><subject>Wireless communications</subject><issn>1939-0114</issn><issn>1939-0122</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kMtOAjEUhhujiYjufIAmLnWkl7nQJaKCCQgJsp6c6bRYLq22JcjbOwTi0tU5OfnOn_wfQreUPFKaZR1GGOtQ2qVcdM9QiwouEkIZO__baXqJrkJYEpLTtEhbyIzNj6rxLHqIarHHPQvrfTABG4t7MYJcJc9KKxsUHsBG4bGr1Ro_QWienMXZAA9VVN4tlFVuG_C7ijvnV9hp3J_O8DwYu8BWTmeTa3ShYR3UzWm20fz15aM_TEaTwVu_N0ok50VMRF7lUAPXKWE5FFBVLIOU5lxVNOvqmklKgQHv6ozlWkKVMcmLgoOE5iRq3kZ3x9wv7763KsRy6ba-qRVKVvBCpEJw0lAPR0p6F4JXuvzyZgN-X1JSHmSWB5nlSWaD3x_xT2Nr2Jn_6V_SznK6</recordid><startdate>20221107</startdate><enddate>20221107</enddate><creator>Liu, Ning</creator><creator>Chai, Qing-Wei</creator><creator>Liu, Shangkun</creator><creator>Meng, Fanying</creator><creator>Zheng, Wei-Min</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-5587-0589</orcidid><orcidid>https://orcid.org/0000-0001-9041-4300</orcidid><orcidid>https://orcid.org/0000-0001-5728-5092</orcidid><orcidid>https://orcid.org/0000-0003-2907-0662</orcidid><orcidid>https://orcid.org/0000-0003-3860-4208</orcidid></search><sort><creationdate>20221107</creationdate><title>Mixed Strategy Analysis in Attack-Defense Game Model Based on 5G Heterogeneous Network of CPS Using ncPSO</title><author>Liu, Ning ; Chai, Qing-Wei ; Liu, Shangkun ; Meng, Fanying ; Zheng, Wei-Min</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-96b6ada3f4026a7abb25a4163eb158fd2c11a2a38f526fcab52c3773aca8f59d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>5G mobile communication</topic><topic>Algorithms</topic><topic>Connectivity</topic><topic>Cyber-physical systems</topic><topic>Cybercrime</topic><topic>Defense</topic><topic>Equilibrium</topic><topic>Game theory</topic><topic>Optimization</topic><topic>Particle swarm optimization</topic><topic>Simulation</topic><topic>Software</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Ning</creatorcontrib><creatorcontrib>Chai, Qing-Wei</creatorcontrib><creatorcontrib>Liu, Shangkun</creatorcontrib><creatorcontrib>Meng, Fanying</creatorcontrib><creatorcontrib>Zheng, Wei-Min</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Security and communication networks</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Ning</au><au>Chai, Qing-Wei</au><au>Liu, Shangkun</au><au>Meng, Fanying</au><au>Zheng, Wei-Min</au><au>Huang, Yuanyuan</au><au>Yuanyuan Huang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mixed Strategy Analysis in Attack-Defense Game Model Based on 5G Heterogeneous Network of CPS Using ncPSO</atitle><jtitle>Security and communication networks</jtitle><date>2022-11-07</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>15</epage><pages>1-15</pages><issn>1939-0114</issn><eissn>1939-0122</eissn><abstract>The development of the 5th Generation Mobile Communication Technology not only brings convenience to people but also brings many network security problems. Based on the static game theory of complete information, a game model of attack and defense with limited resources in heterogeneous networks of Cyber Physical Systems is established. This model analyzes the basic rules of the offensive and defensive strategies of both parties when the offensive and defensive resources are limited in the 5th Generation Mobile Communication Technology network environment. The model can also describe the interaction between attackers and defenders. A novel compact particle swarm optimization algorithm is proposed to solve the difficult problem of solving the Nash equilibrium of this game model. The simulation experiment proves that novel compact particle swarm optimization algorithm has good optimization ability and shows that the algorithm can effectively solve the Nash equilibrium of the model. The simulation experiment provides a strategic reference for the attack-defense game with limited resources.</abstract><cop>London</cop><pub>Hindawi</pub><doi>10.1155/2022/1181398</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-5587-0589</orcidid><orcidid>https://orcid.org/0000-0001-9041-4300</orcidid><orcidid>https://orcid.org/0000-0001-5728-5092</orcidid><orcidid>https://orcid.org/0000-0003-2907-0662</orcidid><orcidid>https://orcid.org/0000-0003-3860-4208</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1939-0114
ispartof Security and communication networks, 2022-11, Vol.2022, p.1-15
issn 1939-0114
1939-0122
language eng
recordid cdi_proquest_journals_2737949930
source EZB-FREE-00999 freely available EZB journals; Wiley Online Library (Open Access Collection); Alma/SFX Local Collection
subjects 5G mobile communication
Algorithms
Connectivity
Cyber-physical systems
Cybercrime
Defense
Equilibrium
Game theory
Optimization
Particle swarm optimization
Simulation
Software
Wireless communications
title Mixed Strategy Analysis in Attack-Defense Game Model Based on 5G Heterogeneous Network of CPS Using ncPSO
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T03%3A15%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mixed%20Strategy%20Analysis%20in%20Attack-Defense%20Game%20Model%20Based%20on%205G%20Heterogeneous%20Network%20of%20CPS%20Using%20ncPSO&rft.jtitle=Security%20and%20communication%20networks&rft.au=Liu,%20Ning&rft.date=2022-11-07&rft.volume=2022&rft.spage=1&rft.epage=15&rft.pages=1-15&rft.issn=1939-0114&rft.eissn=1939-0122&rft_id=info:doi/10.1155/2022/1181398&rft_dat=%3Cproquest_cross%3E2737949930%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2737949930&rft_id=info:pmid/&rfr_iscdi=true