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A Strategy for Inference Control of Official Statistics - Centering around the Patent Application Expense Support Project -

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(11), pp.199-211
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

이덕성 1 CHOI IN SOO 1

1숭실대학교

Accredited

ABSTRACT

Official statistics which are collected for governments and the community can be used to assess the effectiveness of governments’ policies and programs. Thus, official statistics should be collected and presented based on correct findings. Erroneous official statistics will lead to lower quality results in assessing those policies and programs. Many statistical agencies, today, use on-line analytical processing (OLAP) data cubes which support OLAP tasks like aggregation and subtotals as a key part of their dissemination strategy of official statistics. Confidentiality protection in data cubes also should be made. However, sensitive parts of data cubes including micro data may be disclosed by malicious inferences. The authors have suggested an inference control process in OLAP data cubes which preventing erroneous cube creating and securing cubes against privacy breaches. The objective of this study is to establish a strategy for inference control of official statistics using the inference control process by taking the case of the Patent Application Expense Support Project.

Citation status

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