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构建有弹性的卫生系统情报:为网络-生物共生体调整受损指标。

Building Resilient Health Systems Intelligence: Adapting Indicators of Compromise for the Cyber-Bionexus.

机构信息

Gemma Bowsher, MBBS, is a Research Associate, Research for Health in Conflict in the Middle East and North Africa (R4HC-MENA); Rose Bernard, MA, is a Research Associate; and Richard Sullivan, PhD, is Co-Director, R4HC-MENA; all in Conflict and Health Research Group, Department of War Studies, King's College London, London, UK.

出版信息

Health Secur. 2021 Nov;19(6):625-632. doi: 10.1089/hs.2021.0084. Epub 2021 Dec 6.

Abstract

The health sector is an underutilized source of actionable health intelligence for responding to threats across the "cyber-bionexus," defined as the convergence of threats from the biological and cybersecurity domains to produce harms with widespread societal consequences. The escalation of concerns about such threats-related to misinformation and disinformation; chemical, biological, radiological, and nuclear events; cyberattacks; natural disease outbreaks; and disasters of various kinds-places health system concerns squarely at the forefront of national critical systems and broader security imperatives. Events such as the COVID-19 pandemic have highlighted the dearth of systems available for generating real-time intelligence in relation to critical functions of health sector operations amidst an unfolding crisis. Drawing on principles from the field of cyberthreat intelligence, and building on existing scholarship in health security intelligence, we propose a model for applying health system indicators of compromise for cyberbio events. We further discuss the relevance of this approach within the broader landscape of the cyber-bionexus to signal new pathways for research, practice, and policy engagement.

摘要

卫生部门是应对“网络生物共生体”威胁的可采取行动的卫生情报的一个未被充分利用的来源,“网络生物共生体”被定义为来自生物和网络安全领域的威胁汇聚在一起,造成具有广泛社会影响的危害。人们对与错误信息和虚假信息相关的威胁、化学、生物、放射性和核事件、网络攻击、自然疾病爆发以及各种灾害的担忧不断升级——这些问题使卫生系统的关切问题直接摆在国家安全关键系统和更广泛安全需求的最前沿。类似 COVID-19 大流行这样的事件突显了在危机发生时,缺乏可用于针对卫生部门运作的关键功能实时生成情报的系统。借鉴网络威胁情报领域的原则,并利用卫生安全情报领域的现有学术成果,我们提出了一个针对网络生物事件应用卫生系统受损指标的模型。我们还进一步讨论了该方法在更广泛的网络生物共生体环境中的相关性,以表明研究、实践和政策参与的新途径。

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