Security Aspects in Web of Data Based on Trust Principles. A brief of Literature Review

Within scientific community, there is a certain consensus to define "Big Data" as a global set, through a complex integration that embraces several dimensions from using of research data, Open Data, Linked Data, Social Network Data, etc. These data are scattered in different sources, which...

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Bibliographic Details
Published in:International journal of communication networks and information security 2022-04, Vol.11 (3), p.365-379
Main Authors: Herrera-Cubides, Jhon Francined, Gaona-García, Paulo Alonso, Montenegro-Marín, Carlos Enrique, Cataño, Diego Mauricio, González-Crespo, Rubén
Format: Article
Language:English
Subjects:
Access control
Domains
Information sources
Linked Data
Literature reviews
Open data
Principles
Privacy
Quality standards
Resource Description Framework-RDF
Security aspects
Security management
Semantic web
Semantics
Social networks
Virtual communities
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Summary:Within scientific community, there is a certain consensus to define "Big Data" as a global set, through a complex integration that embraces several dimensions from using of research data, Open Data, Linked Data, Social Network Data, etc. These data are scattered in different sources, which suppose a mix that respond to diverse philosophies, great diversity of structures, different denominations, etc. Its management faces great technological and methodological challenges: The discovery and selection of data, its extraction and final processing, preservation, visualization, access possibility, greater or lesser structuring, between other aspects, that allow showing a huge domain of study at the level of analysis and implementation in different knowledge domains. However, given the data availability and its possible opening: What problems do the data opening face? This paper shows a literature review about these security aspects.
ISSN:2076-0930
2073-607X
2073-607X
2076-0930
DOI:10.17762/ijcnis.v11i3.4334