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Erschienen in:
A New Modified MD5-224 Bits Hash Function and an Efficient Message Authentication Code Based on Quasigroups Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

Security of Big Data: Threats and Different Approaches Towards Big Data Security

verfasst von : Yashi Chaudhary, Heman Pathak

Erschienen in: Cyber Security, Privacy and Networking

Verlag: Springer Nature Singapore

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Abstract

In the  present era, the use of the Internet has extended abruptly. With this abrupt increase, massive data is being created, resulting in big data. Big data means more diverse, more impetus, and more complex data streams. Data is being produced in abundance in exabytes and zettabytes by electronic devices, power grids, and modern software. This big data brings different challenges such as incompleteness, inconsistency, heterogeneity, and security with itself. The presented paper targets the security challenge as it is a very significant feature overseen by various data analysts; thus, data must be secured from dwindling in the wrong hands. This paper discusses the approaches and mechanisms mainly based on anonymization, access control, and encryption.

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Vorheriges Kapitel A Hybrid Feature Selection Approach-Based Android Malware Detection Framework Using Machine Learning Techniques
Nächstes Kapitel Segmentation of Image Using Hybrid K-means Algorithm
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Metadaten
Titel
Security of Big Data: Threats and Different Approaches Towards Big Data Security
verfasst von
Yashi Chaudhary
Heman Pathak
Copyright-Jahr
2022
Verlag
Springer Nature Singapore
Buch
Cyber Security, Privacy and Networking

Print ISBN: 978-981-16-8663-4

Electronic ISBN: 978-981-16-8664-1

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-981-16-8664-1_31

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