Reversible Watermarking Method for Social Network Data Sets

A Reversible Watermarking Technique for Social Network Data Sets for Enabling Data Trust in Cyber, Physical, and Social Computing

Social network data are being mined for extracting interesting patterns. Such data are collected by different researchers and organizations and are usually also shared via different channels. These data usually have huge volume because there are millions of social network users throughout the world. In this context, ownership protection of such data sets with huge volume becomes relevant. Digital watermarking is a more demanding solution than any other technique for ensuring the protection and integrity of the rights of the original data sets. The objective of this project is to devise a reversible watermarking technique for the social network data to prove ownership rights and also provide a mechanism for data recovery.

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