Middleware for Preserving Privacy in Big Data

2014 ◽  
pp. 419-443 ◽  
Author(s):  
M. Thilagavathi ◽  
Daphne Lopez ◽  
B. Senthil Murugan
Keyword(s):  
Big Data ◽  
Health Care Providers ◽  
Personal Data ◽  
Health Data ◽  
Cloud Services ◽  
Security And Privacy ◽  
Insurance Companies ◽  
Shared Environment ◽  
Physical And Mental Health ◽  
Healthcare Applications

With increased usage of IT solutions, a huge volume of data is generated from different sources like social networks, CRM, and healthcare applications, to name a few. The size of the data that is generated grows exponentially. As cloud computing provides an optimized, shared, and virtualized IT infrastructure, it is better to leverage the cloud services for storing and processing such Big Data. Securing the data is one of the major challenges in all the domains. Though security and privacy have been talked about for decades, there is still a growing need for high end methods for securing the rampant growth of data. The privacy of personal data, and to be more specific the health data, continues to be an important issue worldwide. Most of the health data in today’s IT world is being computerized. A patient’s health data may portray the different attributes such as his physical and mental health, its severity, financial status, and much more. Moreover, the medical data that are collected from the patients are being shared with other stakeholders of interest like doctors, insurance companies, pharmacies, researchers, and other health care providers. Individuals raise concern about the privacy of their health data in such a shared environment.

scholarly journals Is Big Data Security Essential for Students to Understand?

2020 ◽  
Vol 11 (2) ◽  
pp. 161-170
Author(s):  
Rochman Hadi Mustofa
Keyword(s):  
Big Data ◽  
Undergraduate Students ◽  
Data Security ◽  
Personal Data ◽  
Digital Data ◽  
Security And Privacy ◽  
Group Discussions ◽  
Technology Applications ◽  
Digital Payments ◽  
Financial Technology

AbstractBig Data has become a significant concern of the world, along with the era of digital transformation. However, there are still many young people, especially in developing countries, who are not yet aware of the security of their big data, especially personal data. Misuse of information from big data often results in violations of privacy, security, and cybercrime. This study aims to determine how aware of the younger generation of security and privacy of their big data. Data were collected qualitatively by interviews and focus group discussions (FGD) from. Respondents were undergraduate students who used social media and financial technology applications such as online shopping, digital payments, digital wallet and hotel/transportation booking applications. The results showed that students were not aware enough and understood the security or privacy of their digital data, and some respondents even gave personal data to potentially scam sites. Most students are not careful in providing big data information because they are not aware of the risks behind it, socialization is needed in the future as a step to prevent potential data theft.

scholarly journals Security and Privacy Issues of Big Data

2019 ◽  
pp. 375-407
Author(s):  
José Moura ◽  
Carlos Serrão
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Personal Data ◽  
Security And Privacy ◽  
Data Systems ◽  
Computing Systems ◽  
Big Data Applications ◽  
Big Data Systems ◽  
Privacy Issues

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.

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.

Data confidentiality and computations hiding in cloud services for public administration

2018 ◽  
Vol 0 (7/2018) ◽  
pp. 11-18
Author(s):  
Aleksandra Horubała ◽  
Daniel Waszkiewicz ◽  
Michał Andrzejczak ◽  
Piotr Sapiecha
Keyword(s):  
Public Administration ◽  
Data Privacy ◽  
Homomorphic Encryption ◽  
Personal Data ◽  
Cloud Services ◽  
Security And Privacy ◽  
Data Confidentiality ◽  
Encryption Schemes

Cloud services are gaining interest and are very interesting option for public administration. Although, there is a lot of concern about security and privacy of storing personal data in cloud. In this work mathematical tools for securing data and hiding computations are presented. Data privacy is obtained by using homomorphic encryption schemes. Computation hiding is done by algorithm cryptographic obfuscation. Both primitives are presented and their application for public administration is discussed.

Architecture of Combined e-Learning Environment and Investigation of Secure Access and Privacy Protection

2016 ◽  
Vol 7 (3) ◽  
pp. 89-106 ◽  
Author(s):  
Radi Romansky ◽  
Irina Noninska
Keyword(s):  
Information Security ◽  
Learning Environment ◽  
Privacy Protection ◽  
Personal Data ◽  
Cloud Services ◽  
Learning System ◽  
Security And Privacy ◽  
Secure Access ◽  
E Learning ◽  
Network Communications

The contemporary digital world based on network communications, globalization and information sharing outlines new important targets in the area of privacy and personal data protection which reflect to applied principles of secure access to proposed information structures. In this reason the aim of secure access to all resources of an e-learning environment is very important and adequate technological and organizational measures for authentication, authorization and protection of personal data must be applied. Strong security procedures should be proposed to protect user's profiles, designed after successful registration and all personal information collected by educational processes. The goal of this article is to present an idea to combine traditional e-learning technologies with new opportunities that give mobile applications, cloud services and social computing. These technologies can endanger data security since they make possible remote access to resources, sharing information between participants by network communications. In order to avoid data vulnerabilities users must be identified and authenticated before, i.e. to be allowed to access information resources otherwise integrity and confidentiality of e-learning system could be destroyed. In order to propose solution basic principles of information security and privacy protection in e-learning processes are discussed in this article. As a result, an organizational scheme of a system for information security and privacy is proposed. Based on these principles a graph formalization of access to the system resources is made and architecture for combined (heterogenic) e-learning architecture with secure access to the resources is designed. Analytical investigation based on designed Markov chain has been carried out and several statistical assessments delivered by Develve software are discussed.

A Review on Big Data Security and Privacy in Healthcare Applications

2016 ◽  
pp. 71-89
Author(s):  
Aqeel-ur-Rehman ◽  
Iqbal Uddin Khan ◽  
Sadiq ur Rehman
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy ◽  
Healthcare Applications

scholarly journals Public preferences for electronic health data storage, access, and sharing — evidence from a pan-European survey

2016 ◽  
Vol 23 (6) ◽  
pp. 1096-1106 ◽  
Author(s):  
Sunil Patil ◽  
Hui Lu ◽  
Catherine L Saunders ◽  
Dimitris Potoglou ◽  
Neil Robinson
Keyword(s):  
Data Storage ◽  
Stated Preference ◽  
Personal Data ◽  
Health Data ◽  
Health Conditions ◽  
Treatment Quality ◽  
Insurance Companies ◽  
European Survey ◽  
Relative Preference ◽  
Electronic Health

Abstract Objective To assess the public’s preferences regarding potential privacy threats from devices or services storing health-related personal data. Materials and Methods A pan-European survey based on a stated-preference experiment for assessing preferences for electronic health data storage, access, and sharing. Results We obtained 20 882 survey responses (94 606 preferences) from 27 EU member countries. Respondents recognized the benefits of storing electronic health information, with 75.5%, 63.9%, and 58.9% agreeing that storage was important for improving treatment quality, preventing epidemics, and reducing delays, respectively. Concerns about different levels of access by third parties were expressed by 48.9% to 60.6% of respondents. On average, compared to devices or systems that only store basic health status information, respondents preferred devices that also store identification data (coefficient/relative preference 95% CI = 0.04 [0.00-0.08], P = 0.034) and information on lifelong health conditions (coefficient = 0.13 [0.08 to 0.18], P < 0.001), but there was no evidence of this for devices with information on sensitive health conditions such as mental and sexual health and addictions (coefficient = −0.03 [−0.09 to 0.02], P = 0.24). Respondents were averse to their immediate family (coefficient = −0.05 [−0.05 to −0.01], P = 0.011) and home care nurses (coefficient = −0.06 [−0.11 to −0.02], P = 0.004) viewing this data, and strongly averse to health insurance companies (coefficient = −0.43 [−0.52 to 0.34], P < 0.001), private sector pharmaceutical companies (coefficient = −0.82 [−0.99 to −0.64], P < 0.001), and academic researchers (coefficient = −0.53 [−0.66 to −0.40], P < 0.001) viewing the data. Conclusions Storing more detailed electronic health data was generally preferred, but respondents were averse to wider access to and sharing of this information. When developing frameworks for the use of electronic health data, policy makers should consider approaches that both highlight the benefits to the individual and minimize the perception of privacy risks.

scholarly journals Security and Privacy Issues of Big Data

Web Services ◽  
2019 ◽  
pp. 2197-2229
Author(s):  
José Moura ◽  
Carlos Serrão
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Personal Data ◽  
Security And Privacy ◽  
Data Systems ◽  
Computing Systems ◽  
Big Data Applications ◽  
Big Data Systems ◽  
Privacy Issues

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.

Achieving data security and privacy across healthcare applications using cyber security mechanisms

2020 ◽  
Vol 38 (5/6) ◽  
pp. 979-995
Author(s):  
Shanying Zhu ◽  
Vijayalakshmi Saravanan ◽  
BalaAnand Muthu
Keyword(s):  
Health Care ◽  
Big Data ◽  
Information Security ◽  
Cyber Security ◽  
Security And Privacy ◽  
Future Research ◽  
Healthcare Applications ◽  
Content Type ◽  
Environmental Controls

Purpose Currently, in the health-care sector, information security and privacy are increasingly important issues. The improvement in information security is highlighted in adopting digital patient records based on regulation, providers’ consolidation, and the growing need to exchange information among patients, providers, and payers. Design/methodology/approach Big data on health care are likely to improve patient outcomes, predict epidemic outbreaks, gain valuable insights, prevent diseases, reduce health-care costs and improve analysis of the quality of life. Findings In this paper, the big data analytics-based cybersecurity framework has been proposed for security and privacy across health-care applications. It is vital to identify the limitations of existing solutions for future research to ensure a trustworthy big data environment. Furthermore, electronic health records (EHR) could potentially be shared by various users to increase the quality of health-care services. This leads to significant issues of privacy that need to be addressed to implement the EHR. Originality/value This framework combines several technical mechanisms and environmental controls and is shown to be enough to adequately pay attention to common threats to network security.

A Review of Security Challenges in Cloud Storage of Big Data

2018 ◽  
pp. 175-195
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.

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