Data Privacy

Nataraj Venkataramanan, Ashwin Shriram

  • 出版商: CRC
  • 出版日期: 2016-08-19
  • 售價: $4,980
  • 貴賓價: 9.5$4,731
  • 語言: 英文
  • 頁數: 232
  • 裝訂: Hardcover
  • ISBN: 1498721044
  • ISBN-13: 9781498721042
  • 相關分類: 大數據 Big-dataData Science資訊安全
  • 立即出貨 (庫存=1)

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商品描述

The book covers data privacy in depth with respect to data mining, test data management, synthetic data generation etc. It formalizes principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best practices and reflect on the conflicting relationship between privacy and utility. From a practice standpoint, it provides practitioners and researchers with a definitive guide to approach anonymization of various data formats, including multidimensional, longitudinal, time-series, transaction, and graph data. In addition to helping CIOs protect confidential data, it also offers a guideline as to how this can be implemented for a wide range of data at the enterprise level.

商品描述(中文翻譯)

這本書深入探討了數據隱私,包括數據挖掘、測試數據管理、合成數據生成等方面。它對於基於數據格式和學科的良好匿名化設計,形式化了數據隱私原則的重要性。這些原則概述了最佳實踐,並反映了隱私和效用之間的衝突關係。從實踐的角度來看,它為從事匿名化各種數據格式的從業人員和研究人員提供了明確的指南,包括多維、長期、時間序列、交易和圖形數據。除了幫助CIO保護機密數據外,它還提供了在企業層面上實施這一方法的指南,適用於各種數據。