网络安全平台的评估和选择 - 印度电力部门案例

R. Verma, S. Koul, Ajaygopal Kv
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引用次数: 0

摘要

在新兴经济体中,维护运输、通信、电网和管道网络等相互连接的基础设施至关重要。其中一个关键的干扰是对运行中的网络物理系统进行有针对性的攻击,以切断系统的运行、检查或监控。因此,采用可提供全面保护的网络安全系统(或平台)对于保护关键基础设施网络的完整性至关重要。因此,本研究旨在为(印度电力部门)网络安全管理人员或从业人员提供决策支持系统,以选择最佳和适当的平台来防范网络攻击。研究采用了三阶段方法。首先是文献检索,然后是专家小组讨论,确定备选方案(网络安全平台)和选择标准。其次,编制了一份调查问卷。第三,提出最佳-最差改进和基于距离的综合评估(BWM-I 和 COBRA)混合方法,并将其用于评估网络安全平台备选方案。确定了四个备选方案(基于云的平台、基于网络的平台、基于应用的平台和基于人工智能的平台)、六个主要标准和十五个独特的次级标准。在全印度范围内收集了 80 位电力公司经理的回复,他们将 "端到端覆盖 "标准和基于人工智能的平台评为最佳。这种方法确定了最佳网络安全平台,如果采用这种平台,在适当调整选择标准后,可将其推广到其他关键基础设施。这项研究有助于从业人员评估网络安全平台。此外,它还填补了在印度这样的发展中国家应用该方法的研究空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation and Selection of a Cybersecurity Platform ─ Case of the Power Sector in India
Maintaining interconnected infrastructures such as transportation, communication, power grids, and pipeline networks is paramount in emerging economies. One of the critical interruptions is the targeted attacks on the operating cyber-physical systems to disconnect operations, inspection, or monitoring of the system. Therefore, adopting a cybersecurity system (or platform) that provides holistic protection is vital for protecting the integrity of critical infrastructure networks. As such, this research aspires to provide a decision support system for cybersecurity managers or practitioners (in the Indian power sector) to select the best and appropriate platform for protection against cyber-attacks. A three-phase method is adopted. First, a literature search followed by an expert panel discussion identified alternatives (cybersecurity platforms) and selection criteria. Next, a questionnaire was developed. Thirdly, a hybrid Best-Worst Improved and COmprehensive distance-Based RAnking (BWM-I and COBRA) method was proposed and applied to evaluate the cybersecurity platform alternatives. Four alternatives (Cloud-Based Platforms, Web-Based Platforms, Application-Based Platforms, and AI-Based Platforms), six primary criteria, and fifteen unique sub-criteria were identified. Responses were collected from 80 power utility managers on a pan-India basis, ranking "End-to-End Coverage" criteria and the AI-Based platform as best. This approach identified the best cybersecurity platform that, if adopted, can be extended to other critical infrastructures, with an appropriate adjustment in the selection criteria. The study can be helpful to practitioners in evaluating cybersecurity platforms. Furthermore, it addresses a research gap in its application in a developing country like India.
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