A Survey of Intellectual Property Rights Protection in Big Data Applications
Big Data applications have the potential to transform any digital business platform by enabling the analysis of vast amounts of data. However, the biggest problem with Big Data is breaking down the intellectual property barriers to using that data, especially for cross-database applications. It is a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/15/11/418 |
| _version_ | 1797469444235067392 |
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| author | Rafik Hamza Hilmil Pradana |
| author_facet | Rafik Hamza Hilmil Pradana |
| author_sort | Rafik Hamza |
| collection | DOAJ |
| description | Big Data applications have the potential to transform any digital business platform by enabling the analysis of vast amounts of data. However, the biggest problem with Big Data is breaking down the intellectual property barriers to using that data, especially for cross-database applications. It is a challenge to achieve this trade-off and overcome the difficulties of Big Data, even though intellectual property restrictions have been developed to limit misuse and regulate access to Big Data. This study examines the scope of intellectual property rights in Big Data applications with a security framework for protecting intellectual property rights, watermarking and fingerprinting algorithms. The emergence of Big Data necessitates the development of new conceptual frameworks, security standards, and laws. This study addresses the significant copyright difficulties on cross-database platforms and the paradigm shift from ownership to control of access to and use of Big Data, especially on such platforms. We provide a comprehensive overview of copyright applications for multimedia data and a summary of the main trends in the discussion of intellectual property protection, highlighting crucial issues and existing obstacles and identifying the three major findings for investigating the relationship between them. |
| first_indexed | 2024-03-09T19:21:30Z |
| format | Article |
| id | doaj.art-e848e4a1f2874485b7744d6f4bc81b25 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-09T19:21:30Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-e848e4a1f2874485b7744d6f4bc81b252023-11-24T03:23:12ZengMDPI AGAlgorithms1999-48932022-11-01151141810.3390/a15110418A Survey of Intellectual Property Rights Protection in Big Data ApplicationsRafik Hamza0Hilmil Pradana1Institute for International Strategy, Tokyo International University, Kawagoe 350-1197, JapanNational Institute of Information and Communications Technology (NICT), Big Data Integration Research Center, Tokyo 184-8795, JapanBig Data applications have the potential to transform any digital business platform by enabling the analysis of vast amounts of data. However, the biggest problem with Big Data is breaking down the intellectual property barriers to using that data, especially for cross-database applications. It is a challenge to achieve this trade-off and overcome the difficulties of Big Data, even though intellectual property restrictions have been developed to limit misuse and regulate access to Big Data. This study examines the scope of intellectual property rights in Big Data applications with a security framework for protecting intellectual property rights, watermarking and fingerprinting algorithms. The emergence of Big Data necessitates the development of new conceptual frameworks, security standards, and laws. This study addresses the significant copyright difficulties on cross-database platforms and the paradigm shift from ownership to control of access to and use of Big Data, especially on such platforms. We provide a comprehensive overview of copyright applications for multimedia data and a summary of the main trends in the discussion of intellectual property protection, highlighting crucial issues and existing obstacles and identifying the three major findings for investigating the relationship between them.https://www.mdpi.com/1999-4893/15/11/418Big Dataapplicationscopyrightintellectual propertysecurity |
| spellingShingle | Rafik Hamza Hilmil Pradana A Survey of Intellectual Property Rights Protection in Big Data Applications Algorithms Big Data applications copyright intellectual property security |
| title | A Survey of Intellectual Property Rights Protection in Big Data Applications |
| title_full | A Survey of Intellectual Property Rights Protection in Big Data Applications |
| title_fullStr | A Survey of Intellectual Property Rights Protection in Big Data Applications |
| title_full_unstemmed | A Survey of Intellectual Property Rights Protection in Big Data Applications |
| title_short | A Survey of Intellectual Property Rights Protection in Big Data Applications |
| title_sort | survey of intellectual property rights protection in big data applications |
| topic | Big Data applications copyright intellectual property security |
| url | https://www.mdpi.com/1999-4893/15/11/418 |
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