Secure Development of Big Data Ecosystems
A Big Data environment is a powerful and complex ecosystem that helps companies extract important information from data to make the best business and strategic decisions. In this context, due to the quantity, variety, and sensitivity of the data managed by these systems, as well as the heterogeneity...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8765314/ |
| _version_ | 1819073683010879488 |
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| author | Julio Moreno Eduardo B. Fernandez Manuel A. Serrano Eduardo Fernandez-Medina |
| author_facet | Julio Moreno Eduardo B. Fernandez Manuel A. Serrano Eduardo Fernandez-Medina |
| author_sort | Julio Moreno |
| collection | DOAJ |
| description | A Big Data environment is a powerful and complex ecosystem that helps companies extract important information from data to make the best business and strategic decisions. In this context, due to the quantity, variety, and sensitivity of the data managed by these systems, as well as the heterogeneity of the technologies involved, privacy and security especially become crucial issues. However, ensuring these concerns in Big Data environments is not a trivial issue, and it cannot be treated from a partial or isolated perspective. It must be carried out through a holistic approach, starting from the definition of requirements and policies, and being present in any relevant activity of its development and deployment. Therefore, in this paper, we propose a methodological approach for integrating security and privacy in Big Data development based on main standards and common practices. In this way, we have defined a development process for this kind of ecosystems that considers not only security in all the phases of the process but also the inherent characteristics of Big Data. We describe this process through a set of phases that covers all the relevant stages of the development of Big Data environments, which are supported by a customized security reference architecture (SRA) that defines the main components of this kind of systems along with the key concepts of security. |
| first_indexed | 2024-12-21T17:57:31Z |
| format | Article |
| id | doaj.art-bafe457cbb734ce3a11f1125d3482395 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-21T17:57:31Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bafe457cbb734ce3a11f1125d34823952022-12-21T18:55:10ZengIEEEIEEE Access2169-35362019-01-017966049661910.1109/ACCESS.2019.29293308765314Secure Development of Big Data EcosystemsJulio Moreno0https://orcid.org/0000-0001-9974-1199Eduardo B. Fernandez1Manuel A. Serrano2Eduardo Fernandez-Medina3GSyA Research Group, University of Castilla-La Mancha, Ciudad Real, SpainComputer and Electrical Engineering and Computer Science Department, Florida Atlantic University, Boca Raton, FL, USAAlarcos Research Group, University of Castilla-La Mancha, Ciudad Real, SpainGSyA Research Group, University of Castilla-La Mancha, Ciudad Real, SpainA Big Data environment is a powerful and complex ecosystem that helps companies extract important information from data to make the best business and strategic decisions. In this context, due to the quantity, variety, and sensitivity of the data managed by these systems, as well as the heterogeneity of the technologies involved, privacy and security especially become crucial issues. However, ensuring these concerns in Big Data environments is not a trivial issue, and it cannot be treated from a partial or isolated perspective. It must be carried out through a holistic approach, starting from the definition of requirements and policies, and being present in any relevant activity of its development and deployment. Therefore, in this paper, we propose a methodological approach for integrating security and privacy in Big Data development based on main standards and common practices. In this way, we have defined a development process for this kind of ecosystems that considers not only security in all the phases of the process but also the inherent characteristics of Big Data. We describe this process through a set of phases that covers all the relevant stages of the development of Big Data environments, which are supported by a customized security reference architecture (SRA) that defines the main components of this kind of systems along with the key concepts of security.https://ieeexplore.ieee.org/document/8765314/Big Datasecurity by designsecure developmentsecurity patternssecurity referencearchitecture |
| spellingShingle | Julio Moreno Eduardo B. Fernandez Manuel A. Serrano Eduardo Fernandez-Medina Secure Development of Big Data Ecosystems IEEE Access Big Data security by design secure development security patterns security reference architecture |
| title | Secure Development of Big Data Ecosystems |
| title_full | Secure Development of Big Data Ecosystems |
| title_fullStr | Secure Development of Big Data Ecosystems |
| title_full_unstemmed | Secure Development of Big Data Ecosystems |
| title_short | Secure Development of Big Data Ecosystems |
| title_sort | secure development of big data ecosystems |
| topic | Big Data security by design secure development security patterns security reference architecture |
| url | https://ieeexplore.ieee.org/document/8765314/ |
| work_keys_str_mv | AT juliomoreno securedevelopmentofbigdataecosystems AT eduardobfernandez securedevelopmentofbigdataecosystems AT manuelaserrano securedevelopmentofbigdataecosystems AT eduardofernandezmedina securedevelopmentofbigdataecosystems |