SecureCSocial: Secure Cloud-Based Social Network
暫譯: SecureCSocial:安全的雲端社交網路

Pradeep K. Atrey, Kasun Senevirathna

  • 出版商: World Scientific Pub
  • 出版日期: 2019-08-30
  • 售價: $2,890
  • 貴賓價: 9.5$2,746
  • 語言: 英文
  • 頁數: 160
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811205914
  • ISBN-13: 9789811205910
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The use of online social networks (OSNs) has grown exponentially in recent years, and these OSNs continue to have an ever-increasing impact on human lives. There are many concerns regarding the privacy of users in these environments, such as how trustworthy the social network operators (SNOs) are.

This book presents a way to tackle the security and privacy issues in current OSNs through a new framework for online social networking, based on distributed cloud-based datacenters (CDCs) and using Shamir's secret sharing (SSS) as the method of encrypting user profile data. The framework aims to fulfill two contradictory goals: maintaining the utility of an OSN and preserving privacy of its users. The key feature of the framework lies in relinquishing control of a central authority over user's data (which is what usually happens in the current OSNs, e.g. Facebook keeps all our data) and distributing it to multiple CDCs in encrypted form. The use of SSS ensures perfect security, which means that the security of data does not rely on any unproven computational assumptions.

In this unique book, SNOs are considered as an adversary instead of external adversary. This paves the way for researchers to think beyond the privacy setting mechanism within an OSN to protect users' data.

商品描述(中文翻譯)

隨著近年來線上社交網絡(OSNs)的使用量呈指數增長,這些OSNs對人類生活的影響也在不斷增加。人們對這些環境中用戶隱私的擔憂日益增多,例如社交網絡運營商(SNOs)的可信度。

本書提出了一種通過基於分散式雲端數據中心(CDCs)的新框架來解決當前OSNs中的安全和隱私問題,並使用Shamir的秘密分享(SSS)作為加密用戶資料的方式。該框架旨在實現兩個矛盾的目標:保持OSN的實用性和保護用戶的隱私。該框架的關鍵特徵在於放棄對用戶數據的中央權威控制(這在當前的OSNs中通常發生,例如Facebook保留我們的所有數據),並將其以加密形式分散到多個CDC中。使用SSS確保了完美的安全性,這意味著數據的安全性不依賴於任何未經證明的計算假設。

在這本獨特的書中,SNOs被視為對手,而不是外部對手。這為研究人員提供了思考超越OSN內部隱私設置機制以保護用戶數據的途徑。