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 …

Business intelligence helps gather essential information from a wide variety of unstructured
data and convert them into actionable information that allows firms to make informed policy …

This paper focuses on privacy and security concerns in Big Data. This paper also covers the
encryption techniques by taking existing methods such as differential privacy, k-anonymity, T …

Currently Big Data is the biggest buzzword, and definitely, we believe that Big Data is
changing the world. Some researchers say Big Data will be even bigger buzzword than the …

Artificial Intelligence-based applications have been increasingly deployed in every field of
life including smart homes, smart cities, healthcare services, and autonomous systems …

Industrial Internet-of-Things (IIoT) is a powerful IoT application, which remodels the growth of
industries by ensuring transparent communication among various entities such as hubs …

This study focuses on privacy literacy on social media with respect to how it functions as a
marker for reflecting and alleviating the privacy divide. In doing so, the paper investigates …

Crowdsourced big data has faced growing criticism due to its quality issues, particularly
selection biases. We propose an interpretive framework for understanding selection biases …

Data privacy and security are among the most important aspects to be considered in
implementing a data-driven system. A well generated Big Data contains a wealth of …

Purpose In the era of big data, people are more likely to pay attention to privacy protection
with facing the risk of personal information leakage while enjoying the convenience brought …