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 …

Big data is a term used for very large data sets that have more varied and complex structure.
These characteristics usually correlate with additional difficulties in storing, analyzing and …

In recent years the rapid growth of Internet, IOT and Cloud Computing has led to voluminous
data in almost every organization, academics and business area. Big data has rapidly …

Privacy and security of Big Data is gaining momentum in the research community, also due
to emerging technologies like Cloud Computing, analytics engines and social networks. In …

Big data systems have been instrumental in solving computational problems for business
intelligence and predictive analysis. Despite this, they exhibit serious concerns for user …

In the present age, diversified data—both structured and unstructured, is being produced in
huge amounts from sources like database transactions, audios, images, videos, social …

The recent rapid rise in the availability of big data due to Internet-based technologies such
as social media platforms and mobile devices has left many market leaders unprepared for …

Big data has a growing number of confidentiality and security issues. New technology
doubtlessly brings people benefits, privileges, convenience and efficiencies, with …

Recent technologies, such as IoT, social networks, cloud computing, and data analytics,
make today possible to collect huge amounts of data. However, for data to be used to their …

Abstract Big Data Analytics enables today's businesses and organisations to process and
utilise the raw data that is generated on a daily basis. While Big Data Analytics has improved …