The introduction of online social networks (OSN) has transformed the way people connect
and interact with each other as well as share information. OSN have led to a tremendous …

In social network big data scheduling, it is easy for target data to conflict in the same data
node. Of the different kinds of entropy measures, this paper focuses on the optimization of …

The introduction and rapid growth of the Internet of Medical Things (IoMT), a subset of the
Internet of Things (IoT) in the medical and healthcare systems, has brought numerous …

Recently, a huge amount of social networks have been made publicly available. In parallel,
several definitions and methods have been proposed to protect users' privacy when publicly …

Privacy is one of the most important issues in social social network data sharing. Structure
anonymization is a effective method to protect user from being reidentfied through graph …

k-Anonymity is a well-known privacy model originally designed to protect the identities of the
individuals involved in the release of a data collection. It provides a privacy requirement and …

The problem of anonymization in large networks and the utility of released data are
considered in this paper. Although there are some anonymization methods for networks …

With the progress in the information and communication fields, new opportunities and
technologies for statistical analysis, knowledge discovery, data mining, and many other …

Social networks provide an attractive environment in order to have low cost and easy
communication; however, analyzing huge amounts of produced data can considerably affect …

Privacy on social networks is one of the most important and well-known issues. Various
algorithms have been proposed to preserve the privacy of social network, all of which try to …