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商品描述
This book presents a comprehensive approach to protecting sensitive information when large data collections are released by their owners. It addresses three key requirements of data privacy: the protection of data explicitly released, the protection of information not explicitly released but potentially vulnerable due to a release of other data, and the enforcement of owner-defined access restrictions to the released data. It is also the first book with a complete examination of how to enforce dynamic read and write access authorizations on released data, applicable to the emerging data outsourcing and cloud computing situations. Private companies, public organizations and final users are releasing, sharing, and disseminating their data to take reciprocal advantage of the great benefits of making their data available to others. This book weighs these benefits against the potential privacy risks. A detailed analysis of recent techniques for privacy protection in data release and case studies illustrate crucial scenarios. Protecting Privacy in Data Release targets researchers, professionals and government employees working in security and privacy. Advanced-level students in computer science and electrical engineering will also find this book useful as a secondary text or reference.
商品描述(中文翻譯)
本書提供了一種全面的方法來保護敏感資訊,當大型數據集合被其擁有者釋放時。它針對數據隱私的三個關鍵需求進行探討:保護明確釋放的數據、保護未明確釋放但因其他數據釋放而可能脆弱的信息,以及執行擁有者定義的對釋放數據的訪問限制。本書也是首部完整檢視如何在釋放數據上執行動態讀取和寫入訪問授權的著作,適用於新興的數據外包和雲計算情境。私營公司、公共組織和最終用戶正在釋放、共享和傳播他們的數據,以便互惠利用將數據提供給他人的巨大好處。本書權衡了這些好處與潛在的隱私風險。對於數據釋放中隱私保護的最新技術進行了詳細分析,並通過案例研究說明了關鍵情境。《Protecting Privacy in Data Release》針對在安全和隱私領域工作的研究人員、專業人士和政府員工。計算機科學和電機工程的高級學生也會發現本書作為輔助教材或參考資料非常有用。