Security and Privacy Challenges in Big Data

被引：0

作者：

Wadhwa, Bhawna ^{[1
]}

Tomar, Parul ^{[1
]}

机构：

[1] JC Bose Univ Sci & Technol, Dept Comp Engn, YMCA, Faridabad, India

来源：

PROCEEDINGS OF THIRD DOCTORAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE, DOSCI 2022 | 2023年 / 479卷

关键词：

Big data; Security; Privacy; Cloud computing; Cloud security; Data anonymization; Hadoop; Anonymization; Encryption;

D O I：

10.1007/978-981-19-3148-2_70

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Huge amounts of data are being generated on a regular basis as a result of technological advancements such as social media, smart phones, GPS signals, and sensors. Different types of data, such as structured, semi-structured, and unstructured data, are represented in the datasets. Big data is a word that refers to data that has been collected from many sources and in various volumes. Big data encompasses the vast majority of data generated nowadays. Due to the unstructured form of data, there are a number of concerns with this type of data, including data processing, security, and privacy. This paper will look at some of the characteristics of big data as well as the security concerns it faces. This paper also contains a comprehensive review of the literature on security measures and a comparison of different strategies.

引用

页码：821 / 837

页数：17

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