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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Moura, J. & Serrão, C. (2015). Security and privacy issues of big data. In Noor Zaman, Mohamed Elhassan Seliaman, Mohd Fadzil Hassan, Fausto Pedro Garcia Marquez (Ed.), Handbook of research on trends and future directions in big data and web intelligence. (pp. 20-52).: IGI Global.
Exportar Referência (IEEE)
J. A. Moura and C. J. Serrão,  "Security and privacy issues of big data", in Handbook of research on trends and future directions in big data and web intelligence, Noor Zaman, Mohamed Elhassan Seliaman, Mohd Fadzil Hassan, Fausto Pedro Garcia Marquez, Ed., IGI Global, 2015, pp. 20-52
Exportar BibTeX
@incollection{moura2015_1775769020177,
	author = "Moura, J. and Serrão, C.",
	title = "Security and privacy issues of big data",
	chapter = "",
	booktitle = "Handbook of research on trends and future directions in big data and web intelligence",
	year = "2015",
	volume = "",
	series = "",
	edition = "",
	pages = "20-20",
	publisher = "IGI Global",
	address = "",
	url = "http://www.igi-global.com/book/handbook-research-trends-future-directions/124160"
}
Exportar RIS
TY  - CHAP
TI  - Security and privacy issues of big data
T2  - Handbook of research on trends and future directions in big data and web intelligence
AU  - Moura, J.
AU  - Serrão, C.
PY  - 2015
SP  - 20-52
DO  - 10.4018/978-1-4666-8505-5.ch002
UR  - http://www.igi-global.com/book/handbook-research-trends-future-directions/124160
AB  - 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.
ER  -