将数据科学应用于全球安全

IF 0.7 Q3 INTERNATIONAL RELATIONS Science & Global Security Pub Date : 2020-01-02 DOI:10.1080/08929882.2020.1737419
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The article Data Science in Support of Radiation Detection for Border Monitoring: An Exploratory Study by Christopher Hobbs, Peter McBurney and Dominic Oliver offers the beginning of a new approach to speed up the process of identifying shipping containers bearing naturally occurring radioactive materials which produce false alarms each day at radiation portal monitors installed at many ports around the world. Using a data set from portal monitors in three countries, the article uses data science techniques to look at the radiation profile generated by containers which set off alarms as containers pass through these portals to show that it is possible to characterize and identify containers carrying common radioactive materials. This may reduce the amount of time it takes to investigate and resolve false alarms. The third article in the issue is Physical Public Templates for Nuclear Warhead Verification by Alexander Glaser, Boaz Barak, Moritz K€ utt, and Sebastien Philippe. 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引用次数: 0

摘要

本期《科学与全球安全》由文章组成,这些文章将有关确保、收集、存储和处理数据的想法应用于三个关键的核问题。这些文章涵盖了美国核武器洲际弹道导弹以及其他核武器国家在这些系统进行现代化时可能面临的网络威胁的脆弱性;需要提高探测可能隐藏在通过世界各地港口运输的全球海运集装箱内的核武器、武器材料和放射性材料的可靠性;保护核武器信息的挑战——一些国家可能坚持将其视为与弹头一样敏感的信息——是在经过核查的裁军进程中得到验证的。《评估美国洲际弹道导弹部队实现可靠和安全计算的优先事项》一书由劳伦·j·博尔哈(Lauren J. Borja)撰写,为400多名美国人提供了网络安全的首要原则评估。陆基核洲际弹道导弹,计划在未来几十年内实现现代化。本文应用计算机安全、可靠计算和系统分析的核心思想来探索可能存在的漏洞类型,以及随着系统现代化可能出现的漏洞类型。它强调需要重新考虑美国的核武器政策,这些政策可能会进一步增加这些网络安全漏洞,并增加意外或无意使用核武器的风险。Christopher Hobbs、Peter McBurney和Dominic Oliver撰写的文章《支持边境监测辐射探测的数据科学:一项探索性研究》提供了一种新方法的开始,该方法可以加快识别装载天然放射性物质的集装箱的过程,这些放射性物质每天都会在安装在世界各地许多港口的辐射门户监视器上产生假警报。本文使用来自三个国家门户监视器的数据集,使用数据科学技术查看容器产生的辐射概况,这些容器在通过这些门户时发出警报,以表明有可能表征和识别携带常见放射性物质的容器。这可以减少调查和解决假警报所需的时间。这期的第三篇文章是Alexander Glaser, Boaz Barak, Moritz K - utt和Sebastien Philippe的核弹头验证的物理公共模板。用于国家安全相关数据存储和处理的电子软硬件的认证一直是难点。在作为条约安排一部分的核武器检查中,如果任何一方怀疑有人试图破坏检查,这可能是一个特别严重的问题。本文就如何保护可能敏感的伽马谱不受作为条约授权检查的一部分收集的核弹头的影响提出了两个新想法。首先,它建议转向非数字数据存储媒体,并探索了传统打孔卡存储数据的情况,这些数据以加密散列的形式发布。其次,它提出了一种非数字方法,通过使用可以放置在打孔卡顶部的掩码来部分释放该数据,以根据需要释放选择性位。这一概念是通过在美国国家核安全管理局的设备组装设施测量的4.5公斤固体钚球的伽马辐射光谱样本来证明的。
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Applying Data Science to Global Security
This issue of Science & Global Security is made up of articles applying ideas about securing, collecting, storing and processing data to three critical nuclear issues. The articles cover the vulnerabilities to cyber-threats of U.S. nuclear-armed intercontinental ballistic missiles and potentially those of other nuclear-armed states as these systems undergo modernization; the need to improve the reliability of detecting nuclear weapons, weapon materials, and radioactive materials that might be hidden inside global shipping containers transported through ports around the world; the challenge of protecting nuclear weapons information which some states might insist on treating as sensitive as warheads are authenticated during a process of verified disarmament. Assessing Priorities toward Achieving Dependable and Secure Computing in the U.S. ICBM Force by Lauren J. Borja offers a first principles assessment of cybersecurity for the more than 400U.S. land-based nuclear-armed intercontinental ballistic missiles which are slated to be modernized over the next several decades. The article applies core ideas from computer security, dependable computing, and systems analysis to explore the types of vulnerabilities that may be at play and which may emerge as the system is modernized. It highlights the need to reconsider U.S nuclear weapons policies that potentially further add to these cybersecurity vulnerabilities and increase the risks of accidental or inadvertent nuclear weapons use. The article Data Science in Support of Radiation Detection for Border Monitoring: An Exploratory Study by Christopher Hobbs, Peter McBurney and Dominic Oliver offers the beginning of a new approach to speed up the process of identifying shipping containers bearing naturally occurring radioactive materials which produce false alarms each day at radiation portal monitors installed at many ports around the world. Using a data set from portal monitors in three countries, the article uses data science techniques to look at the radiation profile generated by containers which set off alarms as containers pass through these portals to show that it is possible to characterize and identify containers carrying common radioactive materials. This may reduce the amount of time it takes to investigate and resolve false alarms. The third article in the issue is Physical Public Templates for Nuclear Warhead Verification by Alexander Glaser, Boaz Barak, Moritz K€ utt, and Sebastien Philippe. The authentication of electronic hardware and software used for national security related data storage and processing is always difficult. It can be an especially serious concern in a nuclear weapons inspection that is part of a treaty arrangement if there are suspicions on either side about efforts to subvert the inspection. This article offers two new ideas for how to protect the potentially sensitive gamma spectrum from a nuclear warhead collected as part of a treaty-mandated inspection. First, it suggests moving to a non-digital data storage media and explores the case of traditional punch cards to store the data, which is released as a cryptographic hash. Second, it suggests a non-digital method to partially release this data by using masks that can be placed on top of the punched card to release selective bits as required. The concept is demonstrated using a sample gamma radiation spectrum from a 4.5-kilogram solid plutonium ball measured at the U.S. National Nuclear Security Administration’s Device Assembly Facility.
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来源期刊
Science & Global Security
Science & Global Security INTERNATIONAL RELATIONS-
CiteScore
1.00
自引率
14.30%
发文量
8
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