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Author(s): Moura, J.
Serrão, C.
Editor: Noor Zaman
Mohamed Elhassan Seliaman
Mohd Fadzil Hassan
Fausto Pedro Garcia Marquez
Date: 2015
Title: Security and privacy issues of big data
Book title/volume: Handbook of research on trends and future directions in big data and web intelligence
Pages: 20 - 52
Reference: Moura, J., & Serrão, C. (2015). Security and privacy issues of big data. Em Zaman, N., Seliaman, M. E., Hassan, M. F., & Marquez, F. P. (Eds.). Handbook of research on trends and future directions in big data and web intelligence (pp. 20-52). IGI Global.
ISBN: 9781466685055
DOI (Digital Object Identifier): 10.4018/978-1-4666-8505-5.ch002
Keywords: Big data
Segurança -- Security
Privacidade -- Privacy
Data ownership
Computação em nuvem -- Cloud computing
Social applications
Intrusion detection
Intrusion prevention
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.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:IT-CLI - Capítulos de livros internacionais

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