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The semantic web is similar to the normal web with the structured format and hence the machine learning techniques can easily process the data, which is very sensitive, which must be safeguard from all the non-collaborative means. In this book, the Crow-Optimization based Deep Belief Neural Network (CS-DBN) is modified to increase the privacy preservation in the ontology data and in the second part, Ontology Based Privacy Preservation Over Encrypted Data Using Attribute-Based Encryption (ABE) method is designed to achieve a fine-grained authorization of the search.
| Autorius: | Rubin Thottupurathu Jose, Sojan Lal Poulose, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2022 |
| Knygos puslapių skaičius: | 116 |
| ISBN-10: | 6204746936 |
| ISBN-13: | 9786204746937 |
| Formatas: | 220 x 150 x 7 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „PRIVACY PRESERVATION IN ONTO-WEB: steps to protect data confidentiality using ontology rules“
