Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yavuz Canbay"'
Autor:
Yavuz Canbay
Publikováno v:
IEEE Access, Vol 12, Pp 94197-94204 (2024)
Privacy is a complex balancing problem between risks and utility of data. K-anonymity, a fundamental model for preserving privacy, guarantees that an item cannot be differentiated from at least k-1 other items. Due to the k-anonymity is a hard proble
Externí odkaz:
https://doaj.org/article/5b80774d615540ad8ec1b8d8258eebe6
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8629 (2024)
This paper introduces a new privacy-preserving transfer learning framework for the classification of kidney diseases. In the proposed framework, transfer learning is employed for feature extraction, and differential privacy is used to obtain noisy gr
Externí odkaz:
https://doaj.org/article/5375fbf56fc14873bbfc7720af4f4693
Publikováno v:
Volume: 10, Issue: 3 307-316
Balkan Journal of Electrical and Computer Engineering
Balkan Journal of Electrical and Computer Engineering
Data privacy is a challenging trade-off problem between privacy preserving and data utility. Anonymization is a fundamental approach for privacy preserving and also a hard trade-off problem. It enables to hide the identities of data subjects or recor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e40e9dac39350382282423ea6eb3d5a7
https://doi.org/10.17694/bajece.1061910
https://doi.org/10.17694/bajece.1061910
Publikováno v:
2022 15th International Conference on Information Security and Cryptography (ISCTURKEY).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1beb76f8b6979c8ba1677aec3623cf0d
https://doi.org/10.1109/iscturkey56345.2022.9931866
https://doi.org/10.1109/iscturkey56345.2022.9931866
Autor:
Şeref Sağiroğlu, Yavuz Canbay
Publikováno v:
Volume: 6, Issue: 1 1-16
Uluslararası Bilgi Güvenliği Mühendisliği Dergisi
Uluslararası Bilgi Güvenliği Mühendisliği Dergisi
Verinin boyut ve çeşitlilik olarak arttığı, kişisel verilerin kolaylıkla paylaşıldığı ve ihlallerinin sayısının hızla yükseldiği günümüzde veri mahremiyeti, üzerinde çokça çalışılan ve önlemler geliştirilen konuların ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc3f080da645fc5e63576790596be049
https://doi.org/10.18640/ubgmd.750310
https://doi.org/10.18640/ubgmd.750310
Most of data in various forms contain sensitive information about individuals and so publishing such data might violate privacy. Privacy preserving data publishing (PPDP) is an essential for publishing useful data while preserving privacy. Anonymizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d259788e13dbe9c605062aa31950c7b
https://avesis.gazi.edu.tr/publication/details/5a5ef1ca-2ad2-41dc-af33-a78601e8d5c6/oai
https://avesis.gazi.edu.tr/publication/details/5a5ef1ca-2ad2-41dc-af33-a78601e8d5c6/oai
Publikováno v:
Volume: 9, Issue: 2 701-715
Mühendislik Bilimleri ve Tasarım Dergisi
Mühendislik Bilimleri ve Tasarım Dergisi
Covid-19 hastalığı, ortaya çıktığı günden bugüne birçok can kaybına yol açmıştır. Pandemi olarak ilan edilen bu hastalığa yakalanan kişilerde ciddi akciğer tahribatları oluşabilmektedir. Hekimlerin bu hastalığın teşhisinde a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50456ae41da54623102fdfedf0b6c8c9
https://dergipark.org.tr/tr/pub/jesd/issue/62893/870263
https://dergipark.org.tr/tr/pub/jesd/issue/62893/870263
Konum tabanlı servisler (KTS), sağladıkları bilgi ve yönlendirmeler ile gündelik hayatı kolaylaştırmaktadır. Kullanıcıların KTS’leri kullanarak gezinmesi sonucu elde edilen konum bilgileri zamana göre sıralandığında, yörünge ver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e490277b32c06fb358e90ce1ad23890e
https://avesis.gazi.edu.tr/publication/details/091d4e84-7ab2-4e7e-bd17-b88203bf3eec/oai
https://avesis.gazi.edu.tr/publication/details/091d4e84-7ab2-4e7e-bd17-b88203bf3eec/oai
Anonymization is a privacy-preserving approach facilitating to protect the identities of data subjects. Besides privacy, anonymization presents a data utility that is very important for data analytics. The accuracy of a data analytics model, which is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d559715315d337637f12f72741d70e96
https://avesis.gazi.edu.tr/publication/details/e157dfd7-b5d5-4465-839a-48b55ad47c6a/oai
https://avesis.gazi.edu.tr/publication/details/e157dfd7-b5d5-4465-839a-48b55ad47c6a/oai
Today, a lot of institutions collect and store big data belongs to their respondents (client, patients, users, firms etc.). The main purposes of these actions can be such as doing their missions and providing better services (modeling, extracting beh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef193194aa39dfa9faad2a16808033ba
https://avesis.gazi.edu.tr/publication/details/de64081a-83c5-45e2-a0a6-7ff9d238a654/oai
https://avesis.gazi.edu.tr/publication/details/de64081a-83c5-45e2-a0a6-7ff9d238a654/oai