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Pregled bibliografske jedinice broj: 1259350

Protection of Sensitive Data in a Multi-Cloud Database Based on Fragmentation, Encryption, and Hashing


Jurković, Iva; Škvorc, Dejan; Lovrenčić, Rudolf
Protection of Sensitive Data in a Multi-Cloud Database Based on Fragmentation, Encryption, and Hashing // International journal of machine learning and computing, 13 (2023), 1; 31-38 doi:10.18178/ijml.2023.13.1.1126 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1259350 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Protection of Sensitive Data in a Multi-Cloud Database Based on Fragmentation, Encryption, and Hashing

Autori
Jurković, Iva ; Škvorc, Dejan ; Lovrenčić, Rudolf

Izvornik
International journal of machine learning and computing (2010-3700) 13 (2023), 1; 31-38

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
data outsourcing ; multi-cloud database ; fragmentation ; encryption ; hashing

Sažetak
With proper data fragmentation and distribution of data chunks to different computer clouds, data owners may stay protected from unauthorized access or data breach even in cases when some of the involved computer clouds get compromised. To reduce the number of cloud providers needed to store fragmented data, we propose an outsourcing model for relational databases that uses a combination of data fragmentation, encryption, and hashing. Since client-side encrypted or cryptographically hashed data significantly limits the ability to process them in the cloud, we propose an algorithm to select the most appropriate data protection method that still enables their processing inside the DBMS without converting them into a plaintext. TPC-H benchmark shows that the proposed algorithm successfully processes all 22 types of reference queries, at the same time being able to reduce the necessary number of cloud storage sites up to 80 percent.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Dejan Škvorc (autor)

Avatar Url Rudolf Lovrenčić (autor)

Avatar Url Iva Jurković (autor)

Poveznice na cjeloviti tekst rada:

doi www.ijml.org

Citiraj ovu publikaciju:

Jurković, Iva; Škvorc, Dejan; Lovrenčić, Rudolf
Protection of Sensitive Data in a Multi-Cloud Database Based on Fragmentation, Encryption, and Hashing // International journal of machine learning and computing, 13 (2023), 1; 31-38 doi:10.18178/ijml.2023.13.1.1126 (međunarodna recenzija, članak, znanstveni)
Jurković, I., Škvorc, D. & Lovrenčić, R. (2023) Protection of Sensitive Data in a Multi-Cloud Database Based on Fragmentation, Encryption, and Hashing. International journal of machine learning and computing, 13 (1), 31-38 doi:10.18178/ijml.2023.13.1.1126.
@article{article, author = {Jurkovi\'{c}, Iva and \v{S}kvorc, Dejan and Lovren\v{c}i\'{c}, Rudolf}, year = {2023}, pages = {31-38}, DOI = {10.18178/ijml.2023.13.1.1126}, keywords = {data outsourcing, multi-cloud database, fragmentation, encryption, hashing}, journal = {International journal of machine learning and computing}, doi = {10.18178/ijml.2023.13.1.1126}, volume = {13}, number = {1}, issn = {2010-3700}, title = {Protection of Sensitive Data in a Multi-Cloud Database Based on Fragmentation, Encryption, and Hashing}, keyword = {data outsourcing, multi-cloud database, fragmentation, encryption, hashing} }
@article{article, author = {Jurkovi\'{c}, Iva and \v{S}kvorc, Dejan and Lovren\v{c}i\'{c}, Rudolf}, year = {2023}, pages = {31-38}, DOI = {10.18178/ijml.2023.13.1.1126}, keywords = {data outsourcing, multi-cloud database, fragmentation, encryption, hashing}, journal = {International journal of machine learning and computing}, doi = {10.18178/ijml.2023.13.1.1126}, volume = {13}, number = {1}, issn = {2010-3700}, title = {Protection of Sensitive Data in a Multi-Cloud Database Based on Fragmentation, Encryption, and Hashing}, keyword = {data outsourcing, multi-cloud database, fragmentation, encryption, hashing} }

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