Prototyping Fusion Center information sharing; implementing policy reasoning over cross-jurisdictional data transactions occurring in a decentralized environment

K. Krasnow Waterman, Sam Wang
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引用次数: 13

Abstract

In 2004, the White House and then Congress determined there should be an “Information Sharing Environment” that facilitates the flow of critical information for counterterrorism, related law enforcement, and disaster management activities. That work has been progressing but a major challenge is how to create technologies that: ensure compliance with laws and policies of the federal government, 50 states, and individual agencies; convey appropriate data that would support access control and privilege decisions in different jurisdictions; and achieve accountability and transparency for this activity. We have built a prototype of Fusion Center information sharing that shows significant progress in the representation of law in a policy language, the reasoning of that law over data transactions occurring in a web environment (internet or intranet), acquiring necessary information from authoritative sources wherever they reside in the decentralized environment, and providing both a binary response suitable for automated workflow implementation and a detailed justification suitable for human validation of the conclusion. In this paper, we briefly describe the technologies employed for serializing the data and policy, reasoning over the rules contained in the policy, and displaying the results to users. These combine to provide a powerful tool supporting a range of necessary governmental functions including access control, privilege management, audit, periodic reporting, and risk modeling.
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原型融合中心信息共享;对分散环境中发生的跨管辖数据事务实现策略推理
2004年,白宫和随后的国会决定建立一个“信息共享环境”,促进反恐、相关执法和灾害管理活动的关键信息流动。这项工作一直在取得进展,但一个主要挑战是如何创造技术:确保遵守联邦政府、50个州和各个机构的法律和政策;传达适当的数据,以支持不同司法管辖区的访问控制和特权决策;并实现这一活动的问责制和透明度。我们已经建立了一个融合中心信息共享的原型,它显示了在政策语言中法律的表示、在网络环境(互联网或内部网)中发生的数据交易中法律的推理、从权威来源获取必要的信息,无论它们位于分散的环境中,并提供适合于自动化工作流实现的二进制响应和适合于人工验证结论的详细证明。在本文中,我们简要描述了用于序列化数据和策略、对策略中包含的规则进行推理以及将结果显示给用户的技术。这些组合起来提供了一个强大的工具,支持一系列必要的政府功能,包括访问控制、特权管理、审计、定期报告和风险建模。
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