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Confounder generation in knowledge-based authentication for an enterprise
Confounder generation in knowledge-based authentication for an enterprise
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机译:企业基于知识的身份验证中的混杂因素生成
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摘要
An improved technique generates confounders for KBA questions from personal information management (PIM) data created from within an organization. An enterprise KBA (eKBA) server collects PIM data such as email data for a particular member of the organization. For email data, the eKBA server extracts facts from the headers of emails and generates queries having a corresponding correct answer from a first subset of the facts. Moreover, the eKBA server extracts a set of confounders from a second subset of the facts. The eKBA server then forms a multiple-choice KBA question from the query, the corresponding correct answer, and selected confounders.
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