Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Bechara Al Bouna"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 2, Pp 369-379 (2024)
This paper investigates the problem of collecting multidimensional data throughout time (i.e., longitudinal studies) for the fundamental task of frequency estimation under Local Differential Privacy (LDP) guarantees. Contrary to frequency estimation
Externí odkaz:
https://doaj.org/article/88ebca388d824f73adbb1c0e3ba72eff
Publikováno v:
Future Internet, Vol 12, Iss 4, p 71 (2020)
Data publishing is a challenging task for privacy preservation constraints. To ensure privacy, many anonymization techniques have been proposed. They differ in terms of the mathematical properties they verify and in terms of the functional objectives
Externí odkaz:
https://doaj.org/article/ca8df5621635437da64a4d55694a19f9
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db0d7655394dfb6ef82be1775e6a989
https://doi.org/10.1007/s11042-023-14664-y
https://doi.org/10.1007/s11042-023-14664-y
Publikováno v:
Digital Communications and Networks
Digital Communications and Networks, In press, ⟨10.1016/j.dcan.2022.07.003⟩
Digital Communications and Networks, In press, ⟨10.1016/j.dcan.2022.07.003⟩
This paper investigates the problem of collecting multidimensional data throughout time (i.e., longitudinal studies) for the fundamental task of frequency estimation under Local Differential Privacy (LDP) guarantees. Contrary to frequency estimation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c04d0880f9ecc0bcdd4ba72d71424b0d
https://doi.org/10.1016/j.dcan.2022.07.003
https://doi.org/10.1016/j.dcan.2022.07.003
Publikováno v:
Service Oriented Computing and Applications
Service Oriented Computing and Applications, Springer, 2021, 15 (4), pp.289-307. ⟨10.1007/s11761-021-00325-1⟩
Service Oriented Computing and Applications, Springer, 2021, 15 (4), pp.289-307. ⟨10.1007/s11761-021-00325-1⟩
A particularly challenging problem for data anonymization is dealing with transactional data. Most anonymization methods assume homogeneous, independent and identically distributed (i.i.d.) data; “flattening” transactional data to satisfy this mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15cdae0c82e55309d64b5d511fc1ba5b
https://hal-univ-pau.archives-ouvertes.fr/hal-03434518
https://hal-univ-pau.archives-ouvertes.fr/hal-03434518
Publikováno v:
Journal of Intelligent Information Systems. 53:547-562
Disassociation is a bucketization based anonymization technique that divides a set-valued dataset into several clusters to hide the link between individuals and their complete set of items. It increases the utility of the anonymized dataset, but on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf24d8cbcceaa81d4f899250b051c3a2
https://doi.org/10.1007/s10844-019-00568-7
https://doi.org/10.1007/s10844-019-00568-7
Autor:
Mourad Oussalah, Richard Chbeir, Mansour Naser Alraja, Elie Chicha, Djamal Benslimane, Ramzi A. Haraty, Mohamed Nassar, Bechara Al Bouna
Publikováno v:
ACM Transactions on Internet Technology
ACM Transactions on Internet Technology, Association for Computing Machinery, 2021, 21 (1), pp.1-25. ⟨10.1145/3431501⟩
ACM Transactions on Internet Technology, Association for Computing Machinery, 2021, 21 (1), pp.1-25. ⟨10.1145/3431501⟩
In this article, we present a privacy-preserving technique for user-centric multi-release graphs. Our technique consists of sequentially releasing anonymized versions of these graphs under Blowfish Privacy. To do so, we introduce a graph model that i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::973d65868dc90d563013ed8635d02159
https://hal.archives-ouvertes.fr/hal-03158412
https://hal.archives-ouvertes.fr/hal-03158412
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
Publikováno v:
CIKM
With local differential privacy (LDP), users can privatize their data and thus guarantee privacy properties before transmitting it to the server (a.k.a. the aggregator). One primary objective of LDP is frequency (or histogram) estimation, in which th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fd688ac8e3ee34a43422ed20d903220
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030724641
Longitudinal studies of human mobility could allow an understanding of human behavior on a vast scale. Mobile phone data call detail records (CDRs) have emerged as a prospective data source for such an important task. Nevertheless, there are signific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c360ccc00600db31be86f45b301d83fa
https://doi.org/10.1007/978-3-030-72465-8_3
https://doi.org/10.1007/978-3-030-72465-8_3
Publikováno v:
Transactions on Large-Scale Data-and Knowledge-Centered Systems XLV
Transactions on Large-Scale Data-and Knowledge-Centered Systems XLV, 164, pp.85-108, 2020, ⟨10.1007/978-3-662-62308-4_4⟩
Lecture Notes in Computer Science ISBN: 9783662623077
Transactions on Large-Scale Data-and Knowledge-Centered Systems XLV, 164, pp.85-108, 2020, ⟨10.1007/978-3-662-62308-4_4⟩
Lecture Notes in Computer Science ISBN: 9783662623077
Nowadays, social media runs a significant portion of people’s daily lives. Millions of people use social media applications to share photos. The massive volume of images shared on social media presents serious challenges and requires large computat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df9bc2c8ed9c996abee747bf2eb9fa6
https://hal-univ-pau.archives-ouvertes.fr/hal-03009296
https://hal-univ-pau.archives-ouvertes.fr/hal-03009296