scholarly journals Privacy and Security issues in Big Data : A Case Study of Characteristics, Challenges, and Solution

2020 ◽  
Vol 175 (12) ◽  
pp. 29-34
Author(s):  
Parth Sabhadiya ◽  
Nayankumar Sorathiya ◽  
Vaikunth Desai
Keyword(s):  
Big Data ◽  
Privacy And Security ◽  
Security Issues

scholarly journals Exploring Consumers’ Propensity for Online Shopping in a Developing Country: A Demographic Perspective

2016 ◽  
Vol 4 (1) ◽  
pp. 90-103 ◽  
Author(s):  
Michael Adu Kwarteng ◽  
Michal Pilík
Keyword(s):  
Online Shopping ◽  
Digital Marketing ◽  
The Internet ◽  
Privacy And Security ◽  
Online Transactions ◽  
Security Issues ◽  
Internet Connection ◽  
Gender And Education ◽  
Demographic Attributes

Abstract The advent of the Internet continues to open new frontiers in digital marketing. One visible impact of the Internet in marketing has been the growing increase in online transactions which profits marketers and seemingly satisfies customers. However, in developing countries, the potential of online shopping has not been fully explored, and in some cases, are just non-existent. Lack of online infrastructure has often been attributed to the slower growth in online transactions in Africa, however, the customers’ preparedness and inclination to use the service is ignored. .Against this backdrop, this study seeks to analyze consumers’ propensity to engage in online transactions with a focus on demographic attributes such as age, gender and education. Using customers in Ghana as a case study, key reasons as well as the demographics that fancy online transactions are revealed. The results indicate that delivery problems, poor internet connection, privacy and security issues are some of the reasons preventing customers to shop online

scholarly journals PROTECTION OF PRIVACY AND PERSONAL DATA IN THE BIG DATA ENVIRONMENT OF SMART CITIES

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 181-186
Author(s):  
A. Denker
Keyword(s):  
Big Data ◽  
Smart City ◽  
Personal Information ◽  
Smart Cities ◽  
Personal Data ◽  
Privacy And Security ◽  
Personal Data Protection ◽  
Security Issues ◽  
Data Environment ◽  
Bifocal Lenses

Abstract. The project of smart cities has emerged as a response to the challenges of twenty-first- century urbanization. Solutions to the fundamental conundrum of cities revolving around efficiency, convenience and security keep being sought by leveraging technology. Notwithstanding all the conveniences furnished by a smart city to all the citizens, privacy of a citizen is intertwined with the benefits of a smart city. The development processes which overlook privacy and security issues have left many of the smart city applications vulnerable to non-conventional security threats and susceptible to numerous privacy and personal data spillage risks. Among the challenges the smart city initiatives encounter, the emergence of the smartphone-big data-the cloud coalescence is perhaps the greatest, from the viewpoint of privacy and personal data protection. As our cities are getting digitalized, information comprising citizens' behavior, choices, and mobility, as well as their personal assets are shared over smartphone-big data-the cloud coalescences, thereby expanding cyber-threat surface and creating different security concerns. This coalescence refers to the practices of creating and analyzing vast sets of data, which comprise personal information. In this paper, the protection of privacy and personal data issues in the big data environment of smart cities are viewed through bifocal lenses, focusing on social and technical aspects. The protection of personal data and privacy in smart city enterprises is treated as a socio-technological operation where various actors and factors undertake different tasks. The article concludes by calling for novel developments, conceptual and practical changes both in technological and social realms.

scholarly journals Exploring Consumers’ Propensity For Online Shopping In A Developing Country: A Demographic Perspective

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Michael Adu Kwarteng ◽  
Michal Pilik
Keyword(s):  
Online Shopping ◽  
Digital Marketing ◽  
The Internet ◽  
Privacy And Security ◽  
Online Transactions ◽  
Security Issues ◽  
Internet Connection ◽  
Gender And Education ◽  
Demographic Attributes

The advent of the Internet continues to open new frontiers in digital marketing. One visible impact of the Internet in marketing has been the growing increase in online transactions which profits marketers and seemingly satisfies customers.  However,in developing countries, the potential of online shopping has not been fully explored, and in some cases, are just non- existent. Lack of online infrastructure has often been attributed to the slower growth in online transactions in Africa, however, the customers’ preparedness and inclination to use the service is ignored. .Against this backdrop, this study seeks to analyze consumers’ propensity to engage in online transactions with a focus on demographic attributes such as age, gender and education. Using customers in Ghana as a case study, key reasons as well as the demographics that fancy online transactions are revealed. The results indicate that delivery problems, poor internet connection, privacy and security issues are some of the reasons preventing customers to shop online

A Review of Security Challenges in Cloud Storage of Big Data

2019 ◽  
pp. 1440-1459
Author(s):  
Sara Usmani ◽  
Faiza Rehman ◽  
Sajid Umair ◽  
Safdar Abbas Khan
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Cloud Storage ◽  
Personal Data ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Issues ◽  
The People

The novel advances in the field of Information Technology presented the people pleasure, luxuries and ease. One of the latest expansions in the Information Technology (IT) industry is Cloud Computing, a technology that uses the internet for storage and access of data. It is also known as on-demand computing. The end user can access personal data and applications anywhere any time with a device having internet. Cloud Computing has gained an enormous attention but it results in the issues of data security and privacy as the data is scattered on different machines in different places across the globe which is a serious threat to the technology. It has many advantages like flexibility, efficiency and scalability but many of the companies are hesitant to invest in it due to privacy concerns. In this chapter, the objective is to review the privacy and security issues in cloud storage of Big Data and to enhance the security in cloud environment so that end users can enjoy a trustworthy and reliable data storage and access.

Analysis of Genomic Data in a Cloud Computing Environment

Big Data ◽  
2016 ◽  
pp. 1129-1158
Author(s):  
Philip Groth ◽  
Gerhard Reuter ◽  
Sebastian Thieme
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Genomic Data ◽  
Security Requirements ◽  
Use Case ◽  
Shared Resources ◽  
Security Issues ◽  
Business Partners ◽  
Short Time

A new trend for data analysis in the life sciences is Cloud computing, enabling the analysis of large datasets in short time. This chapter introduces Big Data challenges in the genomic era and how Cloud computing can be one feasible approach for solving them. Technical and security issues are discussed and a case study where Clouds are successfully applied to resolve computational bottlenecks in the analysis of genomic data is presented. It is an intentional outcome of this chapter that Cloud computing is not essential for analyzing Big Data. Rather, it is argued that for the optimized utilization of IT, it is required to choose the best architecture for each use case, either by security requirements, financial goals, optimized runtime through parallelization, or the ability for easier collaboration and data sharing with business partners on shared resources.

Analysis of Genomic Data in a Cloud Computing Environment

2015 ◽  
pp. 186-214
Author(s):  
Philip Groth ◽  
Gerhard Reuter ◽  
Sebastian Thieme
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Genomic Data ◽  
Security Requirements ◽  
Use Case ◽  
Shared Resources ◽  
Security Issues ◽  
Business Partners ◽  
Short Time

A new trend for data analysis in the life sciences is Cloud computing, enabling the analysis of large datasets in short time. This chapter introduces Big Data challenges in the genomic era and how Cloud computing can be one feasible approach for solving them. Technical and security issues are discussed and a case study where Clouds are successfully applied to resolve computational bottlenecks in the analysis of genomic data is presented. It is an intentional outcome of this chapter that Cloud computing is not essential for analyzing Big Data. Rather, it is argued that for the optimized utilization of IT, it is required to choose the best architecture for each use case, either by security requirements, financial goals, optimized runtime through parallelization, or the ability for easier collaboration and data sharing with business partners on shared resources.

An Overview of Big Data Security with Hadoop Framework

2016 ◽  
pp. 165-181
Author(s):  
Jaya Singh ◽  
Ashish Maruti Gimekar ◽  
S. Venkatesan
Keyword(s):  
Big Data ◽  
Data Security ◽  
High Volume ◽  
Digital Data ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Traditional System ◽  
Security Issues ◽  
Security Challenges ◽  
Almost All

Big Data is a very huge volume of data which is beyond the storage capacity and processing capability of traditional system. The volume of data is increasing at exponential rate. Therefore, there is the need of such mechanism to store and process such high volume of data. The impressiveness of the Big data lies with its major applicability to almost all industries. Therefore, it represents both, the tremendous opportunities and complex challenges. Such omnipotent eminence leads to the privacy and security related challenges to the big data. Nowadays, security of big data is mainly focused by every organization because it contains a lot of sensitive data and useful information for taking decisions. The hostile nature of digital data itself has certain inherited security challenges. The aim of Big data security is to identify security issues and to find the better solution for handling security challenges. The observation and analysis of different security mechanism related to the issues of big data and their solutions are focused in this chapter.

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