Security and Privacy Issues of Big Data

TL;DR

This paper discusses security and privacy challenges in Big Data systems, emphasizing the need for new frameworks like SDN and analyzing case studies on social network security.

Contribution

It highlights the limitations of traditional security mechanisms in Big Data and explores SDN as a promising solution, including practical case studies.

Findings

Traditional security mechanisms are inadequate for Big Data environments.

SDN shows potential as an effective security management tool.

Case studies demonstrate SDN's applicability in social network security.

Abstract

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.