Article(id=1281616706887979535, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.02.0519, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1757865600000, receivedDateStr=2025-09-15, revisedDate=1765123200000, revisedDateStr=2025-12-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1783490834208, onlineDateStr=2026-07-08, pubDate=1772208000000, pubDateStr=2026-02-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783490834208, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783490834208, creator=13701087609, updateTime=1783490834208, updator=13701087609, issue=Issue{id=1281616655499366465, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='2', pageStart='1', pageEnd='270', issueExtLink='null', onlineDate='null', pubDate='1772208000000', pubDateStr='2026-02-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783490821957, creator='13701087609', updateTime=1783588693138, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027157069218127, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027157069218128, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=218, endPage=226, ext={EN=ArticleExt(id=1281616707097694736, articleId=1281616706887979535, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Research on security resource allocation optimization of critical infrastructure, columnId=1277328338121261909, journalTitle=China Safety Science Journal, columnName=Public Safety and Emergency Management, runingTitle=null, highlight=null, articleAbstract=

In order to improve the rationality and effectiveness of critical infrastructure security resource allocation, and solve the shortcomings of traditional methods in the balance of security resource allocation and protection effectiveness, an optimization model of critical infrastructure security resource allocation was constructed based on PT, ASD and Stackelberg game theory. Firstly, the ASD-Stackelberg game model was constructed to solve the optimal spatial allocation of security resources within critical infrastructure. Secondly, the PT theory was introduced to describe the bounded rationality characteristics of both attack and defense sides, and the optimal security resource investment threshold was determined. Finally, the nuclear power plant security system was taken as a case study. The verification and analysis results show that compared with the traditional empirical configuration method, the optimal resource allocation scheme output by this model has significantly improved the overall security effectiveness of nuclear power plants by 25.9%, and can accurately identify the optimal amount of security resource investment. This result not only confirms the effectiveness and feasibility of the model in solving the optimal configuration scheme, but also quantitatively establishes its significant superiority in enhancing security protection capabilities.

, authors=Jicheng HUANG, Wenjing CHEN^**, Nan JIA, authorsList=Jicheng HUANG, Wenjing CHEN, Nan JIA, authorCompany=null, correspAuthors=Wenjing CHEN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281616709157098003, articleId=1281616706887979535, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=关键基础设施安全资源配置优化研究, columnId=1277328338280645463, journalTitle=中国安全科学学报, columnName=公共安全与应急管理, runingTitle=null, highlight=null, articleAbstract=

为提高关键基础设施安全资源配置的合理性与有效性，解决传统方法在安全资源分配均衡性与防护效能方面的不足，基于前景理论（PT）、敌手入侵序列图（ASD）和Stackelberg博弈理论，构建关键基础设施安全资源配置优化模型。首先，通过构建ASD-Stackelberg博弈模型求解关键基础设施内部安全资源的最优空间配置；其次，引入PT理论刻画攻防双方的有限理性特征，确定最优安全资源投入阈值；最后，以核电厂安防系统为案例开展实证研究。结果表明：相较于传统经验配置方法，文中所建模型输出的最优资源配置方案，能够使核电厂整体安防效能提升25.9%，且能够准确找出最优安全资源投入量。该结果证实模型在求解最优配置方案方面的有效性与可行性，且其在提升安全防护能力方面具有显著优越性。

, authors=黄积成, 陈文静副教授^**, 贾楠, authorsList=黄积成, 陈文静副教授, 贾楠, authorCompany=null, correspAuthors=陈文静副教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=JYXbeV3KfGfrLmVh6VtRkA==, magXml=OfdyboOgaQbSSi+W09ixBw==, pdfUrl=null, pdf=wfdPuoLsYTmJKownnj+1VA==, pdfFileSize=1934539, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=htM/54hlKhrHh6vr8OcyfQ==, mapNumber=null, fund=null)}, authors=[Author(id=1281616709471670808, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616706887979535, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1073188638@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281616709576528410, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616706887979535, authorId=1281616709471670808, language=EN, stringName=Jicheng HUANG, firstName=Jicheng, middleName=null, lastName=HUANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Information Network Security, People's Public Security University of China, Beijing 100038, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281616709652025883, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616706887979535, authorId=1281616709471670808, language=CN, stringName=黄积成, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=中国人民公安大学 信息网络安全学院，北京 100038, bio={"content":"

黄积成（2000—），男，江西宜春人，硕士研究生，主要研究方向为安全防范、攻防博弈等。E-mail:1073188638@qq.com。

"}, bioImg=null, bioContent=

黄积成（2000—），男，江西宜春人，硕士研究生，主要研究方向为安全防范、攻防博弈等。E-mail:1073188638@qq.com。

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