A Survey of the Security Use Cases in Big Data

Abstract

Big data is the collection of large and complex data sets that are difficult to process using on-hand database management tools or traditional data processing applications. The invention of online social networks, smart phones, fine tuning of ubiquitous computing and many other technological advancements have led to the generation of multiple petabytes of both structured, unstructured and semi-structured data. These massive data sets have lead to the birth of some distributed data processing and storage technologies like Apache Hadoop and MongoDB. To tackle the security issues in Hadoop, the Kerberos protocol has been introduced in its second edition. However, this technological movement has created some security loopholes in the processing and storage of the data sets. This paper tries to list some of the directions research on Big Data challenges has taken for the past five years together with their corresponding Use cases.