Big Data Security

Web Services ◽  
2019 ◽  
pp. 25-38 ◽  
Author(s):  
Fatima-Zahra Benjelloun ◽  
Ayoub Ait Lahcen
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy ◽  
Economic Sectors ◽  
Data Intensive ◽  
New Information ◽  
Maximum Benefit ◽  
Security Challenges ◽  
Data Context ◽  
Privacy Issues

The value of Big Data is now being recognized by many industries and governments. The efficient mining of Big Data enables to improve the competitive advantage of companies and to add value for many social and economic sectors. In fact, important projects with huge investments were launched by several governments to extract the maximum benefit from Big Data. The private sector has also deployed important efforts to maximize profits and optimize resources. However, Big Data sharing brings new information security and privacy issues. Traditional technologies and methods are no longer appropriate and lack of performance when applied in Big Data context. This chapter presents Big Data security challenges and a state of the art in methods, mechanisms and solutions used to protect data-intensive information systems.

Big Data Security

2015 ◽  
pp. 301-313 ◽  
Author(s):  
Fatima-Zahra Benjelloun ◽  
Ayoub Ait Lahcen
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy ◽  
Economic Sectors ◽  
Data Intensive ◽  
New Information ◽  
Maximum Benefit ◽  
Security Challenges ◽  
Data Context ◽  
Privacy Issues

The value of Big Data is now being recognized by many industries and governments. The efficient mining of Big Data enables to improve the competitive advantage of companies and to add value for many social and economic sectors. In fact, important projects with huge investments were launched by several governments to extract the maximum benefit from Big Data. The private sector has also deployed important efforts to maximize profits and optimize resources. However, Big Data sharing brings new information security and privacy issues. Traditional technologies and methods are no longer appropriate and lack of performance when applied in Big Data context. This chapter presents Big Data security challenges and a state of the art in methods, mechanisms and solutions used to protect data-intensive information systems.

Challenges for Big Data Security and Privacy

2019 ◽  
pp. 57-66
Author(s):  
M. Govindarajan
Keyword(s):  
Big Data ◽  
Data Security ◽  
Large Scale ◽  
High Volume ◽  
Security And Privacy ◽  
Cloud Infrastructure ◽  
Cloud Migration ◽  
Definitive Solution ◽  
Cloud Infrastructures ◽  
Privacy Issues

Security and privacy issues are magnified by the volume, variety, and velocity of big data, such as large-scale cloud infrastructures, diversity of data sources and formats, the streaming nature of data acquisition and high volume inter-cloud migration. In the past, big data was limited to very large organizations such as governments and large enterprises that could afford to create and own the infrastructure necessary for hosting and mining large amounts of data. These infrastructures were typically proprietary and were isolated from general networks. Today, big data is cheaply and easily accessible to organizations large and small through public cloud infrastructure. The purpose of this chapter is to highlight the big data security and privacy challenges and also presents some solutions for these challenges, but it does not provide a definitive solution for the problem. It rather points to some directions and technologies that might contribute to solve some of the most relevant and challenging big data security and privacy issues.

Challenges for Big Data Security and Privacy

2018 ◽  
pp. 373-380
Author(s):  
M. Govindarajan
Keyword(s):  
Big Data ◽  
Data Security ◽  
Large Scale ◽  
High Volume ◽  
Security And Privacy ◽  
Cloud Infrastructure ◽  
Cloud Migration ◽  
Definitive Solution ◽  
Cloud Infrastructures ◽  
Privacy Issues

Security and privacy issues are magnified by the volume, variety, and velocity of Big Data, such as Large-scale cloud infrastructures, diversity of data sources and formats, the streaming nature of data acquisition and high volume inter-cloud migration. In the past, Big Data was limited to very large organizations such as governments and large enterprises that could afford to create and own the infrastructure necessary for hosting and mining large amounts of data. These infrastructures were typically proprietary and were isolated from general networks. Today, Big Data is cheaply and easily accessible to organizations large and small through public cloud infrastructure. The purpose of this chapter is to highlight the Big Data security and privacy challenges and also presents some solutions for these challenges, but it does not provide a definitive solution for the problem. It rather points to some directions and technologies that might contribute to solve some of the most relevant and challenging Big Data security and privacy issues.

scholarly journals Big Data Security and Privacy Issues

2018 ◽  
Vol 7 (2) ◽  
pp. 128-132
Author(s):  
Gayatri Kapil ◽  
Alka Agrawal ◽  
R. A. Khan
Keyword(s):  
Big Data ◽  
Data Security ◽  
Large Data ◽  
Unstructured Data ◽  
Security And Privacy ◽  
Exponential Rate ◽  
Public Cloud ◽  
Methods And Techniques ◽  
Private And Public ◽  
Privacy Issues

Big data gradually become a hot topic of research and business and has been growing at exponential rate. It is a combination of structured, semi-structured & unstructured data which is generated constantly through various sources from different platforms like web servers, mobile devices, social network, private and public cloud etc. Big data is used in many organisations and enterprises, big data security and privacy have been increasingly concerned. However, there is a clear contradiction between the large data security and privacy and the widespread use of big data. In this paper, we have indicated challenges of security and privacy in big data. Then, we have presented some possible methods and techniques to ensure big data security and privacy.

scholarly journals Challenges and techniques in Big data security and privacy: A review

2018 ◽  
Vol 1 (4) ◽  
pp. e13 ◽  
Author(s):  
Rongxin Bao ◽  
Zhikui Chen ◽  
Mohammad S. Obaidat
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy
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