scholarly journals Secure big data ecosystem architecture: challenges and solutions

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Memoona J. Anwar ◽  
Asif Q. Gill ◽  
Farookh K. Hussain ◽  
Muhammad Imran
Keyword(s):  
Big Data ◽  
Organizational Context ◽  
Enterprise Architecture ◽  
Security And Privacy ◽  
Complex Data ◽  
Privacy And Security ◽  
Data Intensive ◽  
Security Models ◽  
Individual System ◽  
Data Ecosystem

AbstractBig data ecosystems are complex data-intensive, digital–physical systems. Data-intensive ecosystems offer a number of benefits; however, they present challenges as well. One major challenge is related to the privacy and security. A number of privacy and security models, techniques and algorithms have been proposed over a period of time. The limitation is that these solutions are primarily focused on an individual or on an isolated organizational context. There is a need to study and provide complete end-to-end solutions that ensure security and privacy throughout the data lifecycle across the ecosystem beyond the boundary of an individual system or organizational context. The results of current study provide a review of the existing privacy and security challenges and solutions using the systematic literature review (SLR) approach. Based on the SLR approach, 79 applicable articles were selected and analyzed. The information from these articles was extracted to compile a catalogue of security and privacy challenges in big data ecosystems and to highlight their interdependencies. The results were categorized from theoretical viewpoint using adaptive enterprise architecture and practical viewpoint using DAMA framework as guiding lens. The findings of this research will help to identify the research gaps and draw novel research directions in the context of privacy and security in big data-intensive ecosystems.

Security and Privacy Challenges in Big Data

2020 ◽  
pp. 97-124
Author(s):  
Dharmpal Singh ◽  
Ira Nath ◽  
Pawan Kumar Singh
Keyword(s):  
Big Data ◽  
Data Protection ◽  
High Performance ◽  
Digital Transformation ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Data Safety ◽  
Amount Of Information ◽  
Enormous Amount ◽  
Software Skills

Big data refers to enormous amount of information which may be in planned and unplanned form. The huge capacity of data creates impracticable situation to handle with conventional database and traditional software skills. Thousands of servers are needed for its processing purpose. Big data gathers and examines huge capacity of data from various resources to determine exceptional novel awareness and recognizing the technical and commercial circumstances. However, big data discloses the endeavor to several data safety threats. Various challenges are there to maintain the privacy and security in big data. Protection of confidential and susceptible data from attackers is a vital issue. Therefore, the goal of this chapter is to discuss how to maintain security in big data to keep your organization robust, operational, flexible, and high performance, preserving its digital transformation and obtaining the complete benefit of big data, which is safe and secure.

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.

Nth Order Binary Encoding with Split-Protocol

2018 ◽  
Vol 5 (2) ◽  
pp. 95-118 ◽  
Author(s):  
Bharat S Rawal ◽  
Songjie Liang ◽  
Shiva Gautam ◽  
Harsha Kumara Kalutarage ◽  
P Vijayakumar
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Data Storage ◽  
Network Traffic ◽  
Transmission Rate ◽  
Security And Privacy ◽  
Unique Combination ◽  
Privacy And Security ◽  
Binary Encoding ◽  
Data Explosion

To cope up with the Big Data explosion, the Nth Order Binary Encoding (NOBE) algorithm with the Split-protocol has been proposed. In the earlier papers, the application Split-protocol for security, reliability, availability, HPC have been demonstrated and implemented encoding. This technology will significantly reduce the network traffic, improve the transmission rate and augment the capacity for data storage. In addition to data compression, improving the privacy and security is an inherent benefit of the proposed method. It is possible to encode the data recursively up to N times and use a unique combination of NOBE's parameters to generate encryption keys for additional security and privacy for data on the flight or at a station. This paper describes the design and a preliminary demonstration of (NOBE) algorithm, serving as a foundation for application implementers. It also reports the outcomes of computable studies concerning the performance of the underlying implementation.

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.

Security and Privacy Challenges in Big Data

2021 ◽  
pp. 15-41
Author(s):  
Dharmpal Singh ◽  
Ira Nath ◽  
Pawan Kumar Singh
Keyword(s):  
Big Data ◽  
Data Protection ◽  
High Performance ◽  
Digital Transformation ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Data Safety ◽  
Amount Of Information ◽  
Enormous Amount ◽  
Software Skills

Big data refers to enormous amount of information which may be in planned and unplanned form. The huge capacity of data creates impracticable situation to handle with conventional database and traditional software skills. Thousands of servers are needed for its processing purpose. Big data gathers and examines huge capacity of data from various resources to determine exceptional novel awareness and recognizing the technical and commercial circumstances. However, big data discloses the endeavor to several data safety threats. Various challenges are there to maintain the privacy and security in big data. Protection of confidential and susceptible data from attackers is a vital issue. Therefore, the goal of this chapter is to discuss how to maintain security in big data to keep your organization robust, operational, flexible, and high performance, preserving its digital transformation and obtaining the complete benefit of big data, which is safe and secure.

Big Data Security

2015 ◽  
pp. 301-313 ◽  
Author(s):  
Fatima-Zahra Benjelloun ◽  
Ayoub Ait Lahcen
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy ◽  
Economic Sectors ◽  
Data Intensive ◽  
New Information ◽  
Maximum Benefit ◽  
Security Challenges ◽  
Data Context ◽  
Privacy Issues

The value of Big Data is now being recognized by many industries and governments. The efficient mining of Big Data enables to improve the competitive advantage of companies and to add value for many social and economic sectors. In fact, important projects with huge investments were launched by several governments to extract the maximum benefit from Big Data. The private sector has also deployed important efforts to maximize profits and optimize resources. However, Big Data sharing brings new information security and privacy issues. Traditional technologies and methods are no longer appropriate and lack of performance when applied in Big Data context. This chapter presents Big Data security challenges and a state of the art in methods, mechanisms and solutions used to protect data-intensive information systems.

An Analysis of Privacy and Security in the Zachman and Federal Enterprise Architecture Frameworks

2009 ◽  
pp. 183-194
Author(s):  
Richard V. McCarthy
Keyword(s):  
Enterprise Architecture ◽  
Business Processes ◽  
The United States ◽  
Security And Privacy ◽  
United States Government ◽  
Privacy And Security ◽  
The Past ◽  
Architecture Framework ◽  
Architecture Frameworks ◽  
Enterprise Architecture Framework

Enterprise architecture has had a resurgence of interest in the IT community in the past ten year; in part because of a mandate for federal agencies of the United States government and in part because of the complexity of managing today’s information systems environments. It has become a critical component of an overall IT governance program to provide structure and documentation to describe the business processes, information flows, technical infrastructure and organizational management of an information technology organization. Many different enterprise architecture frameworks have emerged over the past ten years. Two of the most widely used enterprise architecture frameworks (the Zachman Framework and the Federal enterprise architecture framework) are described and their ability to meet the security and privacy needs of an organization is discussed. These frameworks represent a contrast of industry and government perspectives in addressing issues of key importance to senior IT leadership.

scholarly journals Content an Insight to Security Paradigm for BigData on Cloud: Current Trend and Research

2017 ◽  
Vol 7 (5) ◽  
pp. 2873 ◽  
Author(s):  
Chhaya S Dule ◽  
Girijamma H. A.
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Current Trend ◽  
Security And Privacy ◽  
Future Research ◽  
Survey Analysis ◽  
Cloud Infrastructure ◽  
Privacy And Security ◽  
Storage Mechanism ◽  
Efficient Data

The sucesssive growth of collabrative applications prodcuing Bigdata on timeline leads new opprutinity to setup commodities on cloud infrastructure. Mnay organizations will have demand of an efficient data storage mechanism and also the efficient data analysis. The Big Data (BD) also faces some of the security issues for the important data or information which is shared or transferred over the cloud. These issues include the tampering, losing control over the data, etc. This survey work offers some of the interesting, important aspects of big data including the high security and privacy issue. In this, the survey of existing research works for the preservation of privacy and security mechanism and also the existing tools for it are stated. The discussions for upcoming tools which are needed to be focused on performance improvement are discussed. With the survey analysis, a research gap is illustrated, and a future research idea is presented

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.

Big Data and Cloud Interoperability

2016 ◽  
pp. 59-69
Author(s):  
Ahmad Yusairi Bani Hashim
Keyword(s):  
Big Data ◽  
Data Storage ◽  
High Volume ◽  
Mobile Technologies ◽  
Security And Privacy ◽  
Easy Access ◽  
Storage Security ◽  
Useful Knowledge ◽  
Data Intensive ◽  
Cloud Interoperability

Cloud computing provides access to the high volume of data to individuals and enterprises. Immense data analytics and mobile technologies contain useful knowledge. Data storage, security, and privacy, on the other hand, are the main issues for any organization or enterprises in the business world. Big data processing is within reach due to easy access to cloud architectures and open-source software. Now, interoperability of big data and cloud has become a necessity in this era of data-intensive world.

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