Security and Privacy Issues of Big Data
This work tackles security and privacy issues for Big Data applications, but it is incremental as it reviews existing topics and proposes known solutions like SDN without introducing new methods.
The chapter addresses security and privacy challenges in Big Data systems, proposing that traditional mechanisms like firewalls are inadequate and suggesting SDN as a potential solution, supported by case studies on social networks and computing infrastructures.
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.