Security and Privacy Issues of Big Data

Author:

Moura José1,Serrão Carlos2

Affiliation:

1. Instituto Universitário de Lisboa, Portugal & Instituto de Telecomunicações, Portugal

2. Instituto Universitário de Lisboa, Portugal & Information Sciences, Technologies and Architecture Research Center, Portugal

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.

Publisher

IGI Global

Reference53 articles.

1. Advantech. (2013). Enhancing Big Data Security. Retrieved from http://www.advantech.com.tw/nc/newsletter/whitepaper/big_data/big_data.pdf

2. Big data and cloud computing

3. Software Behavior Based Trusted Attestation

4. A Literature Review of Privacy Research on Social Network Sites

5. Cloud Security Alliance. (2013). Expanded Top Ten Security and Privacy Challenges. Retrieved from https://downloads.cloudsecurityalliance.org/initiatives/bdwg/Expanded_Top_Ten_Big_Data_Security_and_Privacy_Challenges.pdf

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