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Privacy Preserving Data Mining as Autonomous Data Analysis Expands into Safeguarding from Threats like Crime and Terrorism

Privacy Preserving Data Mining as Autonomous Data Analysis Expands into Safeguarding from Threats like Crime and Terrorism
隐私保护数据挖掘作为自主数据分析扩展到防范犯罪和恐怖主义等威胁
批准号:
DP0451129
负责人:
Prof Vladimir Estivill-Castro
金额:
$13.58万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2004
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2004-01-01 至 2007-12-31

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中文摘要
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英文摘要
In a world characterized by digitally coded data, Data Mining allows automatic exploration of huge numbers of personal records for target marketing, as well as demographic, medical and criminal research. Investigations into terrorist attacks use this technology, but a balance with privacy protection is necessary. Even if names and unique identifiers are removed, computer methods can be used to infer confidential information about individuals. This project develops new techniques to ensure privacy and alleviate public concerns such as secondary use of personal data. We shall develop new methods for replacing original data with data that exhibits approximately the same patterns, but conceals sensitive data.
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Algorithmic engineering and complexity analysis of protocols for consensus
  • 批准号:
    DP110101792
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $14.74万
  • 财政年份:
    2011
  • 负责人:
    Prof Vladimir Estivill-Castro
  • 依托单位:
Efficient Pre-Processing of Hard Problems: New Approaches, Basic Theory and Applications
  • 批准号:
    DP0773331
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $26.68万
  • 财政年份:
    2007
  • 负责人:
    Prof Vladimir Estivill-Castro
  • 依托单位:
海外基金