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ITR: Scalable and Secure Information Republication

ITR: Scalable and Secure Information Republication
ITR:可扩展且安全的信息发布
批准号:
0085961
负责人:
Premkumar Devanbu
金额:
$78.65万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-15 至 2005-08-31

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中文摘要
翻译
我们的社会越来越依赖于通过互联网及时、准确地传递信息。用户需要确保他们通过这种方式获得的信息是真实的,并且他们需要以廉价和可靠的方式获得这种保证。这项研究围绕着一种产生这种信心的新方法展开。首先要分离数据库的“所有者”和它的“发布者”(或多个发布者)的角色。使用这种方法,用户不需要信任发布者。相反,数据库的所有者向用户提供少量的“摘要信息”。之后,出版商不仅要回答用户的问题,而且还要提供一个简短的准确性“数字证书”。使用摘要信息,证书允许用户检查收到的信息是否正确和完整。开发和评估构建这些证书的良好方案是关键的技术挑战。出版商不需要维护一个可信的系统,从而降低了他的经营成本。发布者还可以更容易地提供来自多个所有者的信息。总的来说,这种方法可以降低通过互联网获取可靠数据的成本,并扩展使用数据的设置。
英文摘要
Our society increasingly relies on prompt, accurate delivery of information over the Internet. Users need assurance that the information they get in this way is authentic, and they need to get this assurance in a cheap and reliable way.The research centers around a new approach for engendering this confidence. The starting point is to separate the roles of the "owner" of a database and its "publisher" (or publishers). With this approach the user need not trust the publisher. Instead, the owner of the database provides the user with a small amount of "summary information". After that, the publisher not only answers the user's questions, but also provides, along with each answer, a short "digital certificate" of accuracy. Using the summary information, the certificate lets the user check that the information received is correct and complete. Developing and evaluating good schemes to construct these certificates is the key technical challenge.The publisher need not maintain a trusted system, lowering his cost of doing business. The publisher can also more easily provide information from multiple owners. Overall, the approach should make it cheaper to obtain reliable data over the Internet, and will expand the settings where the data is used.
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SHF:Medium: Studying and Exploiting the Bimodality of Software
  • 批准号:
    2107592
  • 项目类别:
    Standard Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2021
  • 负责人:
    Premkumar Devanbu
  • 依托单位:
Interdisciplinary Workshop on Statistical Natural Language Processing Methods for Software Engineering
  • 批准号:
    1551318
  • 项目类别:
    Standard Grant
  • 资助金额:
    $6.58万
  • 财政年份:
    2015
  • 负责人:
    Premkumar Devanbu
  • 依托单位:
SHF: Large: Collaborative Research: Exploiting the Naturalness of Software
  • 批准号:
    1414172
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $100.01万
  • 财政年份:
    2014
  • 负责人:
    Premkumar Devanbu
  • 依托单位:
EAGER: Exploiting the Naturalness of Software
  • 批准号:
    1247280
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2012
  • 负责人:
    Premkumar Devanbu
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis