HI-risk:卫生信息风险情报分析方法

W. Buchanan, N. V. Deursen
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引用次数: 0

摘要

信息安全威胁情报是研究人员、老牌it供应商和初创企业普遍关注的话题。大数据分析对安全威胁和漏洞扫描的可能性为基础设施保护提供了重大发展。与此同时,行业研究报告继续指出,导致数据泄露事件的主要因素是人为错误。信息安全专业人员的常见反应是诉诸技术解决方案来防止这些人为错误。然而,一些非常重要的信息安全情报并没有隐藏在网络流量中:它可以从处理敏感信息的人那里获得。本文描述了用于识别医疗保健中的非技术信息安全风险的健康信息风险(HI-risk)方法。该方法包括与技能、行为、过程、组织文化、物理安全和外部影响相关的风险。HI-risk提供了一种解决方案,用于从整个医疗保健行业收集有关非技术信息安全事件的情报,以展示过去的趋势并领先于未来的事件。对高风险预测的测试证明了这种方法在医疗保健及其他领域的可行性。建议HI-risk可以成为现有技术威胁和漏洞监测工具的有价值的补充。
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HI-risk: A method to analyse health information risk intelligence
Information security threat intelligence is a prevalent topic amongst researchers, long-established IT-vendors and start-ups. The possibilities of Big Data analytics to security threat and vulnerability scanning offer a significant development in the protection of infrastructures. At the same time, industry research reports continue to state that the main contributing factor in the events leading to a data breach is human error. The common response of information security professionals is to resort to technological solutions to prevent these human errors. However, some very important information security intelligence is not hidden within the network traffic: it's available from the people that work with sensitive information. This article describes the Health Information risk (HI-risk) method to identify non-technical information security risks in healthcare. The method includes risks related to skills, behaviour, processes, organisational culture, physical security, and external influences. HI-risk offers a solution to collect intelligence about nontechnical information security incidents from across the healthcare sector to demonstrate past trends and to be ahead of future incidents. A test of a HI-risk forecast proved the feasibility of this approach in healthcare and beyond. It is suggested that HI-risk could become a valuable addition to existing technical threat and vulnerability monitoring tools.
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