An information-theoretic analysis of security behavior intentions amongst United States poll workers.

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Risk Analysis Pub Date : 2024-11-21 DOI:10.1111/risa.17682
Natalie M Scala, Jayant Rajgopal, Yeabsira Mezgebe, Josh Dehlinger
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Abstract

In light of recent events related to national elections in the United States, safeguarding the security and integrity of forthcoming elections stands as a critical national priority. Elections equipment in the United States constitutes critical national infrastructure, and its operation relies on poll workers, who are trusted insiders. However, those insiders may pose risks if they make mistakes with detrimental consequences or act with malice. This research analyzes a large dataset of 2213 responses obtained from a survey of poll workers and potential poll workers in 13 states. The survey includes the Security Behavior Intentions Scale, which has been previously established and validated in the security literature. We use the responses to assess poll workers' intentions of complying with established security-related practices. We develop a novel model using information theory to examine potential weaknesses in security behaviors and identify poll worker security practices to improve to ensure the integrity of our elections. We also recommend action items and countermeasures for states and localities based upon this empirical analysis.

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对美国投票站工作人员安全行为意向的信息理论分析。
鉴于最近发生的与美国全国选举有关的事件,保障即将举行的选举的安全性和完整性是国家的一项重要优先事项。美国的选举设备是重要的国家基础设施,其运行依赖于投票站工作人员,他们是值得信赖的内部人员。然而,如果这些内部人员犯错造成不良后果或恶意行事,就可能带来风险。本研究分析了从 13 个州的投票站工作人员和潜在投票站工作人员调查中获得的 2213 份回复的大型数据集。调查包括安全行为意向量表,该量表之前已在安全文献中建立并得到验证。我们利用这些回答来评估投票站工作人员遵守既定安全相关惯例的意愿。我们利用信息论建立了一个新颖的模型,用于检查安全行为中的潜在弱点,并确定投票站工作人员需要改进的安全措施,以确保选举的公正性。我们还根据这一实证分析为各州和地方提出了行动项目和对策建议。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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