文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

守护我们的关键系统:关键基础设施网络弹性的衡量标准。

Guarding Our Vital Systems: A Metric for Critical Infrastructure Cyber Resilience.

作者信息

Lubis Muharman, Safitra Muhammad Fakhrul, Fakhrurroja Hanif, Muttaqin Alif Noorachmad

机构信息

Master of Information System Study Program, School of Industrial Engineering, Telkom University, Main Campus (Bandung Campus), Jl. Telekomunikasi No. 1, Bandung 40257, West Java, Indonesia.

Department of Network and Security, Pelayaran Nasional Indonesia, Jakarta 10130, Special Capital Region of Jakarta, Indonesia.

出版信息

Sensors (Basel). 2025 Jul 22;25(15):4545. doi: 10.3390/s25154545.


DOI:10.3390/s25154545
PMID:40807712
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12349531/
Abstract

The increased occurrence and severity of cyber-attacks on critical infrastructure have underscored the need to embrace systematic and prospective approaches to resilience. The current research takes as its hypothesis that the InfraGuard Cybersecurity Framework-a capability model that measures the maturity of cyber resilience through three functional pillars, Cyber as a Shield, Cyber as a Space, and Cyber as a Sword-is an implementable and understandable means to proceed with. The model treats the significant aspects of situational awareness, active defense, risk management, and recovery from incidents and is measured using globally standardized maturity models like ISO/IEC 15504, NIST CSF, and COBIT. The contributions include multidimensional measurements of resilience, a scored scale of capability (0-5), and domain-based classification enabling organizations to assess and enhance their cybersecurity situation in a formalized manner. The framework's applicability is illustrated in three exploratory settings of power grids, healthcare systems, and airports, each constituting various levels of maturity in resilience. This study provides down-to-earth recommendations to policymakers through the translation of the attributes of resilience into concrete assessment indicators, promoting policymaking, investment planning, and global cyber defense collaboration.

摘要

对关键基础设施的网络攻击在发生频率和严重程度上的增加,凸显了采用系统和前瞻性方法来增强恢复力的必要性。当前的研究假设,“信息基础设施保护网络安全框架”(一种通过“网络盾牌”“网络空间”和“网络利剑”这三个功能支柱来衡量网络恢复力成熟度的能力模型)是一种可行且易于理解的推进方式。该模型涵盖态势感知、主动防御、风险管理以及事件恢复等重要方面,并使用ISO/IEC 15504、美国国家标准与技术研究院网络安全框架(NIST CSF)和信息及相关技术控制目标(COBIT)等全球标准化的成熟度模型进行衡量。其贡献包括对恢复力的多维度测量、能力评分量表(0至5分)以及基于领域的分类,使组织能够以一种形式化的方式评估和改善其网络安全状况。该框架的适用性在电网、医疗系统和机场这三个探索性场景中得到了说明,每个场景在恢复力方面都构成了不同的成熟度水平。本研究通过将恢复力的属性转化为具体的评估指标,为政策制定者提供了切实可行的建议,促进了政策制定、投资规划以及全球网络防御合作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/7be91a59671f/sensors-25-04545-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/663056b34143/sensors-25-04545-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/ee03163bed74/sensors-25-04545-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/f7011a9c50f4/sensors-25-04545-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/9519309510d8/sensors-25-04545-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/2d33e67aaad6/sensors-25-04545-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/7be91a59671f/sensors-25-04545-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/663056b34143/sensors-25-04545-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/ee03163bed74/sensors-25-04545-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/f7011a9c50f4/sensors-25-04545-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/9519309510d8/sensors-25-04545-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/2d33e67aaad6/sensors-25-04545-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ca/12349531/7be91a59671f/sensors-25-04545-g006.jpg

相似文献

[1]
Guarding Our Vital Systems: A Metric for Critical Infrastructure Cyber Resilience.

Sensors (Basel). 2025-7-22

[2]
Influence of Human Factors on Cyber Security within Healthcare Organisations: A Systematic Review.

Sensors (Basel). 2021-7-28

[3]
Prescription of Controlled Substances: Benefits and Risks

2025-1

[4]
Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments.

Sci Rep. 2025-7-9

[5]
Cybersecurity Interventions in Health Care Organizations in Low- and Middle-Income Countries: Scoping Review.

J Med Internet Res. 2024-11-20

[6]
Federated Learning and EEL-Levy Optimization in CPS ShieldNet Fusion: A New Paradigm for Cyber-Physical Security.

Sensors (Basel). 2025-6-9

[7]
Intelligent dynamic cybersecurity risk management framework with explainability and interpretability of AI models for enhancing security and resilience of digital infrastructure.

J Reliab Intell Environ. 2025

[8]
Hail Lifestyle Medicine consensus position statement as a medical specialty: Middle Eastern perspective.

Front Public Health. 2025-6-20

[9]
Health professionals' experience of teamwork education in acute hospital settings: a systematic review of qualitative literature.

JBI Database System Rev Implement Rep. 2016-4

[10]
A New Measure of Quantified Social Health Is Associated With Levels of Discomfort, Capability, and Mental and General Health Among Patients Seeking Musculoskeletal Specialty Care.

Clin Orthop Relat Res. 2025-4-1

本文引用的文献

[1]
A Systematic Literature Review on Cyber Threat Intelligence for Organizational Cybersecurity Resilience.

Sensors (Basel). 2023-8-19

[2]
CYBER-AIDD: A novel approach to implementing improved cyber security resilience for large Australian healthcare providers using a Unified Modelling Language ontology.

Digit Health. 2023-7-30

[3]
Research utility and limitations of textual data in the National Violent Death Reporting System: a scoping review and recommendations.

Inj Epidemiol. 2023-5-9

[4]
A real-world information security performance assessment using a multidimensional socio-technical approach.

PLoS One. 2020-9-8

[5]
Defining a Cyber Resilience Investment Strategy in an Industrial Internet of Things Context.

Sensors (Basel). 2019-1-3

[6]
Adaptive Output Regulation of Heterogeneous Multiagent Systems Under Markovian Switching Topologies.

IEEE Trans Cybern. 2017-9-29

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索