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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM23215

Risk mitigation strategies of Big data with IOT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM23215

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VK

Vani Krishnaswamy

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Abstract

Today,technological advances are gaining momentum in the lives of users,but also in the world of business,health,industry and the military.One of the most promising technologies is the IoT(Internet of Things) which will allow physical objects to connect to the Internet, thus optimizing their functioning by generating data. However, in a world where data is becoming king, it must be handled efficiently and the means of IT must allow to store an ever-increasing number of data. This is where Big Data takes on its importance.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 and also private sector 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.

KEYWORDS

Big Data IoT Security Privacy Data Security Data Privacy.

Cite This Article

Vani Krishnaswamy, "Risk mitigation strategies of Big data with IOT," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM23215

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11/5/2023

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