Privacy in Social Networks (Synthesis Lecutres on Data Mining and Knowledge Discovery)
Elena Zheleva, Evimaria Terzi, Lise Getoor
- 出版商: Morgan & Claypool
- 出版日期: 2013-03-01
- 售價: $1,410
- 貴賓價: 9.5 折 $1,340
- 語言: 英文
- 頁數: 86
- 裝訂: Paperback
- ISBN: 1608458628
- ISBN-13: 9781608458622
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相關分類:
Data-mining
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商品描述
This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs.
Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings
商品描述(中文翻譯)
本講座綜述了在線社交網絡(OSNs)中隱私的相關研究。這項工作涵蓋了用戶、服務提供者和第三方的關切。我們的目標是從計算機科學的角度來探討這些問題,並在現有的隱私、安全、統計建模和數據庫研究基礎上,提供與OSNs中隱私相關的技術和算法問題的概述。我們的調查首先介紹了一個簡單的OSN數據模型,並描述了可以用來推斷潛在敏感信息的常見統計推斷技術。接下來,我們描述了一些隱私定義和數據發布的隱私機制。最後,我們描述了一組最近的技術,用於在OSNs的背景下建模、評估和管理個別用戶的隱私風險。
目錄:
引言 / 在線社交網絡模型 / 隱私披露類型 / 用於推斷網絡信息的統計方法 / 匿名性和差異隱私 / 攻擊與隱私保護機制 / 信息共享模型 / 用戶的隱私風險 / 隱私設置管理