Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

In this paper, we present a comprehensive survey of privacy-preserving big data analytics.
We introduce well-designed taxonomies which offer both systematic views and a detailed …

Fog computing is emerging as a powerful and popular computing paradigm to perform IoT
(Internet of Things) applications, which is an extension to the cloud computing paradigm to …

With the increasing popularity of service computing paradigm, tremendous resources or
services are emerging rapidly on the Web, imposing heavy burdens on the service selection …

As a promising way to extract insightful information from massive data, service
recommendation has gained ever-increasing attentions in both academic and industrial …

Abstract Hardware Trojans (HTs) can be implanted in security-weak parts of a chip with
various means to steal the internal sensitive data or modify original functionality, which may …

Community detection is one of the hot topics in the complex networks. It aims to find
subgraphs that are internally dense but externally sparsely connected. In this paper, a new …

Most of the various sectors in today's life such as bank, transport, voting, health, electricity,
etc., are currently digitalized. In our research paper, we have surveyed the voting system …

Abstract Quality of Service (QoS) prediction and privacy preservation are two key challenges
in service recommendation. Nevertheless, the existing QoS prediction methods cannot be …

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 …