scholarly journals Review: Big Data Privacy and Security Risk and Solutions

2021 ◽  
pp. 85-94
Author(s):  
Madhavi Tota
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
High Efficiency ◽  
Data Access ◽  
Database Systems ◽  
Mobile Internet ◽  
Security Measures ◽  
Security Risk ◽  
Privacy And Security ◽  
Big Data Privacy

Big Data is very dynamic issues in the current year, enables computing resources as a data to be provided as Information Technology services with high efficiency and effectiveness. The high amount of data in world is growing day by day. Data is growing very rapidly because of use of internet, smart phone and social network. Now size of the data is in Petabyte and Exabyte. Traditional database systems are not able to capture, store and analyze this large amount of data. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the limits. However, the current scenario the growth rate of such large data creates number of challenges, such as the fast growth of data, access speed, diverse data, and security. This paper shows the fundamental concepts of Big Data. Privacy threats and security methods used in Big Data. With the development of various research application and recourses of Internet/Mobile Internet, social networks, Internet of Things, big data has become the very important topic of research across the world, at the same time, big data has security risks and privacy protection during different stages such as collecting, storing, analyzing and utilizing. This paper introduces security measures of big data, then proposes the technology to solve the security threats.

Security and Privacy in Big Data Computing

2020 ◽  
pp. 236-256
Author(s):  
Kiritkumar J. Modi ◽  
Prachi Devangbhai Shah ◽  
Zalak Prajapati
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Security And Privacy ◽  
Comprehensive Overview ◽  
Privacy And Security ◽  
Cloud Data ◽  
Big Data Privacy ◽  
Cloud Data Storage ◽  
Type Data ◽  
Big Data Computing

The rapid growth of digitization in the present era leads to an exponential increase of information which demands the need of a Big Data paradigm. Big Data denotes complex, unstructured, massive, heterogeneous type data. The Big Data is essential to the success in many applications; however, it has a major setback regarding security and privacy issues. These issues arise because the Big Data is scattered over a distributed system by various users. The security of Big Data relates to all the solutions and measures to prevent the data from threats and malicious activities. Privacy prevails when it comes to processing personal data, while security means protecting information assets from unauthorized access. The existence of cloud computing and cloud data storage have been predecessor and conciliator of emergence of Big Data computing. This article highlights open issues related to traditional techniques of Big Data privacy and security. Moreover, it also illustrates a comprehensive overview of possible security techniques and future directions addressing Big Data privacy and security issues.

A Study of the Cryptographic Technologies on Big Data Privacy and Security in E-Commerce

2019 ◽  
Vol 16 (8) ◽  
pp. 3587-3590
Author(s):  
Raheem Mafas ◽  
Manoj Jayabalan
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
State Of The Art ◽  
Not Given ◽  
Privacy And Security ◽  
Comprehensive Review ◽  
Goods And Services ◽  
Big Data Privacy ◽  
Reasonable Cost ◽  
Challenges And Opportunities

In this era, big data is the most common buzzword across different industries due to its capabilities of collecting, processing, storing and analysing data. The advancement of the E-Commerce paved the way for merchants and customers to meet online to satisfy their requirements by exchanging goods and services at a reasonable cost. The challenges and opportunities for big data on the emphasis of data privacy and security is a widely discussed topic among businesses especially E-Commerce merchants. There are several reviews available on emphasizing big data opportunities and challenges with regard to privacy and security. However, a comprehensive review on E-Commerce highlighting thematically on the tools and technologies is not given enough consideration. Therefore, the purpose of this study is to review the state-of-the-art technologies towards privacy and security in the E-Commerce platforms. The identified cryptographic technologies were also discussed with the rational standpoint to understand the viability to apply in the E-Commerce operations. The study concludes with an enlightening path from which the E-Commerce merchants can be vigilant on data privacy and security in future.

Combination of Access Control and De-Identification for Privacy Preserving in Big Data

2016 ◽  
Vol 10 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Amine Rahmani ◽  
Abdelmalek Amine ◽  
Reda Mohamed Hamou
Keyword(s):  
Big Data ◽  
Access Control ◽  
Data Privacy ◽  
Scientific Community ◽  
High Efficiency ◽  
Personal Information ◽  
Privacy Preserving ◽  
Big Data Privacy ◽  
Basic Concepts ◽  
Identification Techniques

Despite of its emergence and advantages in various domains, big data still suffers from major disadvantages. Timeless, scalability, and privacy are the main problems that hinder the advance of big data. Privacy preserving has become a wide search era within the scientific community. This paper covers the problem of privacy preserving over big data by combining both access control and data de-identification techniques in order to provide a powerful system. The aim of this system is to carry on all big data properties (volume, variety, velocity, veracity, and value) to ensure protection of users' identities. After many experiments and tests, our system shows high efficiency on detecting and hiding personal information while maintaining the utility of useful data. The remainder of this report is addressed in the presentation of some known works over a privacy preserving domain, the introduction of some basic concepts that are used to build our approach, the presentation of our system, and finally the display and discussion of the main results of our experiments.

scholarly journals Enhanced Secured Map Reduce layer for Big Data privacy and security

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Priyank Jain ◽  
Manasi Gyanchandani ◽  
Nilay Khare
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Map Reduce ◽  
Privacy And Security ◽  
Big Data Privacy

Security and Privacy in Big Data Computing

2021 ◽  
pp. 287-303
Author(s):  
Kiritkumar J. Modi ◽  
Prachi Devangbhai Shah ◽  
Zalak Prajapati
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Security And Privacy ◽  
Comprehensive Overview ◽  
Privacy And Security ◽  
Cloud Data ◽  
Big Data Privacy ◽  
Cloud Data Storage ◽  
Type Data ◽  
Big Data Computing

The rapid growth of digitization in the present era leads to an exponential increase of information which demands the need of a Big Data paradigm. Big Data denotes complex, unstructured, massive, heterogeneous type data. The Big Data is essential to the success in many applications; however, it has a major setback regarding security and privacy issues. These issues arise because the Big Data is scattered over a distributed system by various users. The security of Big Data relates to all the solutions and measures to prevent the data from threats and malicious activities. Privacy prevails when it comes to processing personal data, while security means protecting information assets from unauthorized access. The existence of cloud computing and cloud data storage have been predecessor and conciliator of emergence of Big Data computing. This article highlights open issues related to traditional techniques of Big Data privacy and security. Moreover, it also illustrates a comprehensive overview of possible security techniques and future directions addressing Big Data privacy and security issues.

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