Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Big data privacy"'
Publikováno v:
IEEE Access, Vol 12, Pp 20931-20941 (2024)
The exponential growth of big data has ushered in transformative possibilities across various sectors, but it has also raised formidable privacy concerns. This article delves into the pressing need for enhancing big data privacy and explores innovati
Externí odkaz:
https://doaj.org/article/145230a11e544790af29774f959b359e
Autor:
Brenner Lopes, Ricardo Rodrigues Barbosa, Luander Cipriano de Jesus Falcão, Renato Rocha Souza
Publikováno v:
Revista Informação na Sociedade Contemporânea, Vol 8, Iss 1 (2024)
Vivemos num ambiente caracterizado como um oceano de dados, que cresce não só quanto ao seu volume e quantidade, mas também em termos de variedade, sendo criado e transitando em alta velocidade. Atualmente os dados estruturados estão em quantidad
Externí odkaz:
https://doaj.org/article/240c97d0835a4e578544fa2ebe62e529
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-23 (2023)
Abstract Data are often correlated in real-world datasets. Existing data privacy algorithms did not consider data correlation an inherent property of datasets. This data correlation caused privacy leakages that most researchers left unnoticed. Such p
Externí odkaz:
https://doaj.org/article/05889df58d284fd7af03b04a775a106f
Akademický článek
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Autor:
Brijesh B. Mehta, Udai Pratap Rao
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 4, Pp 1423-1430 (2022)
In the era of big data analytics, data owner is more concern about the data privacy. Data anonymization approaches such as k-anonymity, l-diversity, and t-closeness are used for a long time to preserve privacy in published data. However, these approa
Externí odkaz:
https://doaj.org/article/3b2141c1abe04f3db37f426acfbecdbf
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-32 (2021)
Abstract With data becoming a salient asset worldwide, dependence amongst data kept on growing. Hence the real-world datasets that one works upon in today’s time are highly correlated. Since the past few years, researchers have given attention to t
Externí odkaz:
https://doaj.org/article/e8c6ceb5b63c4c42855a5bdf9fe7e1dd
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Autor:
Ziyad R. Alashhab, Mohammed Anbar, Manmeet Mahinderjit Singh, Yu-Beng Leau, Zaher Ali Al-Sai, Sami Abu Alhayja’a
Publikováno v:
Journal of Electronic Science and Technology, Vol 19, Iss 1, Pp 100059- (2021)
In light of the COVID-19 outbreak caused by the novel coronavirus, companies and institutions have instructed their employees to work from home as a precautionary measure to reduce the risk of contagion. Employees, however, have been exposed to diffe
Externí odkaz:
https://doaj.org/article/4f27ad22515b4fcf890359666eecf831
Publikováno v:
IEEE Access, Vol 7, Pp 31435-31445 (2019)
Driven by the advance of positioning technology and the tremendous popularity of location-based services, location-record data have become unprecedentedly available. Publishing such data is of vital importance to the advancement of a wide spectrum of
Externí odkaz:
https://doaj.org/article/281cdfd741d347b9b432e740491c0aa0
Publikováno v:
Journal of Big Data, Vol 5, Iss 1, Pp 1-24 (2018)
Abstract Data is being produced in large amounts and in rapid pace which is diverse in quality, hence, the term big data used. Now, big data has started to influence modern day life in almost every sphere, be it business, education or healthcare. Dat
Externí odkaz:
https://doaj.org/article/55e3b208e935406da0b3b0ed10584e49