Protecting Location Privacy in the Era of Big Data: A Technical Perspective
暫譯: 在大數據時代保護位置隱私：技術視角

Yan, Yan, Mahmood, Adnan, Sheng, Quan Z.

Protecting Location Privacy in the Era of Big Data: A Technical Perspective
  • 出版商: CRC
  • 出版日期: 2024-12-10
  • 售價: $2,970
  • 貴賓價: 9.5 折 $2,822
  • 語言: 英文
  • 頁數: 124
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032899883
  • ISBN-13: 9781032899886
  • 相關分類: 大數據 Big-data

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book examines the uses and potential risks of location-based services (LBS) in the context of big data, with a focus on location privacy protection methods.

The growth of the mobile Internet and the popularity of smart devices have spurred the development of LBS and related mobile applications. However, the misuse of sensitive location data could compromise the physical and communication security of associated devices and nodes, potentially leading to privacy breaches. This book explores the potential risks to the location privacy of mobile users in the context of big data applications. It discusses the latest methods and implications of location privacy from different perspectives. The author offers case studies of three applications: statistical disclosure and privacy protection of location-based big data using a centralized differential privacy model; a user location perturbation mechanism based on a localized differential privacy model; and terminal location perturbation using a geo-indistinguishability model. Linking recent developments in three-dimensional positioning and artificial intelligence, the book also predicts future trends and provides insights into research issues in location privacy.

This title will be a valuable resource for researchers, students, and professionals interested in location-based services, privacy computing and protection, wireless network security, and big data security.

商品描述(中文翻譯)

本書探討了在大數據背景下，基於位置的服務（LBS）的用途及潛在風險，重點關注位置隱私保護方法。

隨著行動互聯網的增長和智慧裝置的普及，LBS及相關的行動應用程式得到了迅速發展。然而，敏感位置數據的濫用可能會危及相關裝置和節點的物理及通訊安全，並可能導致隱私洩露。本書探討了在大數據應用背景下，行動用戶位置隱私的潛在風險。它從不同的角度討論了位置隱私的最新方法及其影響。作者提供了三個應用的案例研究：使用集中式差分隱私模型的基於位置的大數據的統計披露和隱私保護；基於局部差分隱私模型的用戶位置擾動機制；以及使用地理不可區分性模型的終端位置擾動。本書將三維定位和人工智慧的最新發展聯繫起來，還預測了未來的趨勢並提供了位置隱私研究問題的見解。

本書將成為對基於位置的服務、隱私計算與保護、無線網路安全及大數據安全感興趣的研究人員、學生和專業人士的重要資源。

作者簡介

Yan Yan is a Professor of the School of Computer and Communication, Lanzhou University of Technology, China. Her research interests include, but are not limited to, privacy preserving data collection, privacy preserving data publishing, blockchain transaction privacy protection, and multimedia information security.

Adnan Mahmood is a Lecturer in Computing-IoT and Networking at the School of Computing, Macquarie University, Sydney, Australia. His research interests include, but are not limited to, the Internet of Things (primarily, the Internet of Vehicles), Trust Management, Software-Defined Networking, and the Next Generation Heterogeneous Wireless Networks.

Quan Z. Sheng is a Distinguished Professor and Head of School of Computing at Macquarie University, Australia. He is ranked by Microsoft Academic as one of the Most Impactful Authors in Services Computing (ranked Top 5 of All Time worldwide) and in the Web of Things (ranked Top 20 All Time).

作者簡介(中文翻譯)

顏妍是中國蘭州理工大學計算機與通信學院的教授。她的研究興趣包括但不限於隱私保護數據收集、隱私保護數據發布、區塊鏈交易隱私保護以及多媒體信息安全。

阿德南·馬哈茂德是澳大利亞悉尼麥考瑞大學計算機學院物聯網與網絡的講師。他的研究興趣包括但不限於物聯網（主要是車輛互聯網）、信任管理、軟體定義網絡以及下一代異構無線網絡。

盛全志是澳大利亞麥考瑞大學計算機學院的傑出教授及院長。他被微軟學術評為服務計算領域最具影響力的作者之一（全球歷史排名前五）以及物聯網領域（全球歷史排名前二十）。

類似商品