Data Privacy Management, Cryptocurrencies and Blockchain Technology: Esorics 2019 International Workshops, Dpm 2019 and CBT 2019, Luxembourg, Septembe
暫譯: 數據隱私管理、加密貨幣與區塊鏈技術：Esorics 2019 國際研討會、Dpm 2019 與 CBT 2019，盧森堡，九月

Perez-Sola, Cristina, Navarro-Arribas, Guillermo, Biryukov, Alex

Data Privacy Management, Cryptocurrencies and Blockchain Technology: Esorics 2019 International Workshops, Dpm 2019 and CBT 2019, Luxembourg, Septembe
  • 出版商: Springer
  • 出版日期: 2019-09-18
  • 售價: $2,990
  • 貴賓價: 9.5 折 $2,841
  • 語言: 英文
  • 頁數: 400
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030314995
  • ISBN-13: 9783030314996
  • 相關分類: 區塊鏈 Blockchain

    • 海外代購書籍(需單獨結帳)

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商品描述

This book constitutes the refereed conference proceedings of the 14th International Workshop on Data Privacy Management, DPM 2019, and the Third International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2019, held in conjunction with the 24th European Symposium on Research in Computer Security, ESORICS 2019, held in Luxembourg in September 2019.

For the CBT Workshop 10 full and 8 short papers were accepted out of 39 submissions. The selected papers are organized in the following topical headings: lightning networks and level 2; smart contracts and applications; and payment systems, privacy and mining. The DPM Workshop received 26 submissions from which 8 full and 2 short papers were selected for presentation. The papers focus on privacy preserving data analysis; field/lab studies; and privacy by design and data anonymization.

Chapter 2, "Integral Privacy Compliant Statistics Computation," and Chapter 8, "Graph Perturbation as Noise Graph Addition: a New Perspective for Graph Anonymization," of this book are available open access under a CC BY 4.0 license at link.springer.com.


商品描述(中文翻譯)

本書是第14屆國際數據隱私管理研討會（DPM 2019）及第三屆國際加密貨幣與區塊鏈技術研討會（CBT 2019）的經過審稿的會議論文集，這兩個研討會與第24屆歐洲計算機安全研究研討會（ESORICS 2019）同時舉行，於2019年9月在盧森堡舉行。

在CBT研討會中，39篇投稿中接受了10篇完整論文和8篇短文。所選論文按以下主題分類：閃電網絡與第二層；智能合約與應用；以及支付系統、隱私與挖礦。DPM研討會共收到26篇投稿，其中選出了8篇完整論文和2篇短文進行報告。這些論文專注於隱私保護的數據分析；實地/實驗室研究；以及隱私設計與數據匿名化。

本書的第二章「整體隱私合規統計計算」和第八章「圖擾動作為噪聲圖添加：圖形匿名化的新視角」可在link.springer.com上以CC BY 4.0許可證開放訪問。

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