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EAGER: Collaborative: Process-Based Technology to Support Comparison and Evaluation of the Security of Elections

EAGER: Collaborative: Process-Based Technology to Support Comparison and Evaluation of the Security of Elections
EAGER:协作:基于流程的技术支持选举安全性的比较和评估
批准号:
1258577
负责人:
Matt Bishop
金额:
$7.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2014-09-30

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中文摘要
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英文摘要
This project explores process composition tools as applied to elections, concentrating particularly on mail-in and Internet voting. This includes exploration of how to compose systems from pre-analyzed process components, how to analyze the vulnerability of these systems to attacks, and how to guarantee that important security properties are ensured for the resulting composed system. The underlying processes represent aspects of national and local elections, their composition produces an election process, and analysis of the composition gives insight into potential errors or attacks on the election.Elections are human-intensive processes, processes that directly involve humans in important decision-making and coordination activities, including their interactions with hardware and software components. Providing an approach for formally reasoning about human participation extends current security work. The project also breaks new ground by exploring process-based approaches for modeling and defending against attacks.The project works closely with government agencies at both the national and local levels to provide in-depth realistic evaluation of results.Election officials in the U.S. can directly employ the results of this work to make U.S. election processes more verifiably secure, simpler, and easier to change as new technologies, laws, and regulations are imposed. Moreover the technologies developed in this project can be used in most human-intensive processes that have critical security concerns.
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Collaborative Research: SaTC: EDU: Building an Electronic Voting Technology Inspired Interactive Teaching and Learning Framework for Cybersecurity Education
  • 批准号:
    2011175
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.0万
  • 财政年份:
    2020
  • 负责人:
    Matt Bishop
  • 依托单位:
SaTc: EDU: Collaborative: An Assessment Driven Approach to Self-Directed Learning in Secure Programming (SecTutor)
  • 批准号:
    1934279
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.1万
  • 财政年份:
    2019
  • 负责人:
    Matt Bishop
  • 依托单位:
CICI: CE: Improving the Security of a Science DMZ
  • 批准号:
    1739025
  • 项目类别:
    Standard Grant
  • 资助金额:
    $73.81万
  • 财政年份:
    2017
  • 负责人:
    Matt Bishop
  • 依托单位:
Travel Support for Participants in the 2016 New Security Paradigms Workshop
  • 批准号:
    1644900
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
  • 财政年份:
    2016
  • 负责人:
    Matt Bishop
  • 依托单位:
海外基金