Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Big data frequently contains huge amounts of personal identifiable information and therefore the protection of user’s privacy becomes a challenge. Lots of researches had been administered on securing big data, but still limited in efficient privacy management and data sensitivity. This study designed a big data framework named Big Data-ARpM that is secured and enforces privacy and access restriction level. The internal components of Big Data-ARpM consists of six modules. Data Pre-processor which contains a data cleaning component that checks each entity of the data for conformity. Data Classifier deals with the classification of data due to the sensitivity of such data. Data Preservation consists of two sub modules with the goal of preserving data before release to any user or any third party application to prevent privacy violation of the data owner. Access Restriction module coordinates the user or third party application registration, access to data and information in the entire system.
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Akinwunmi Oluwafemi. 2020. \u201cA Secure Big Data Framework Based on Access Restriction And Preserved Level of Privacy\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 20 (GJCST Volume 20 Issue E3): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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