Securecsocial: Secure Cloud-based Social Network

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A01=Kasun Senevirathna
A01=Pradeep Atrey
Age Group_Uncategorized
Age Group_Uncategorized
Author_Kasun Senevirathna
Author_Pradeep Atrey
automatic-update
Category1=Non-Fiction
Category=UR
Category=UT
Cloud
COP=Singapore
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Language_English
NWS=1
Online Social Networks
PA=Available
Price_€50 to €100
Privacy
PS=Active
Security
SN=World Scientific Series In Digital Forensics And Cybersecurity
softlaunch

Product details

  • ISBN 9789811205910
  • Publication Date: 30 Aug 2019
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication City/Country: SG
  • Product Form: Hardback
  • Language: English
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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.

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