dc.contributor.author | KANMAZ, MERVE | |
dc.contributor.author | SERTBAŞ, AHMET | |
dc.contributor.author | AYDIN, MUHAMMED ALİ | |
dc.date.accessioned | 2021-12-10T09:36:25Z | |
dc.date.available | 2021-12-10T09:36:25Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | KANMAZ M., AYDIN M. A. , SERTBAŞ A., "A New Geometric Data Perturbation Method for Data Anonymization Based on Random Number Generators", JOURNAL OF WEB ENGINEERING, cilt.20, sa.6, ss.1947-1970, 2021 | |
dc.identifier.issn | 1540-9589 | |
dc.identifier.other | av_068adc50-c342-4f6d-99b5-a1bc6e2660f8 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/168087 | |
dc.identifier.uri | https://doi.org/10.13052/jwe1540-9589.20613 | |
dc.description.abstract | With the technology's rapid development and its involvement in all areas of our lives, the volume and value of data have become a significant field of study. Valuation of the data to this extent has produced some consequences in terms of people's knowledge. Data anonymization is the most important of these issues in terms of the security of personal data. Much work has been done in this area and continues to being done. In this study, we proposed a method called RSUGP for the anonymization of sensitive attributes. A new noise model based on random number generators has been proposed instead of the Gaussian noise or random noise methods, which are being used conventionally in geometric data perturbation. We tested our proposed RSUGP method with six different databases and four different classification methods for classification accuracy and attack resistance; then, we presented the results section. Experiments show that the proposed method was more successful than the other two classification accuracy, attack resistance, and runtime. | |
dc.language.iso | eng | |
dc.subject | Theoretical Computer Science | |
dc.subject | Software | |
dc.subject | General Computer Science | |
dc.subject | Computer Science (miscellaneous) | |
dc.subject | Computer Science Applications | |
dc.subject | Physical Sciences | |
dc.subject | Veritabanı ve Veri Yapıları | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Biyoenformatik | |
dc.subject | Bilgisayar Bilimleri | |
dc.subject | BİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Bilgisayar Bilimi | |
dc.subject | BİLGİSAYAR BİLİMİ, YAZILIM MÜHENDİSLİĞİ | |
dc.title | A New Geometric Data Perturbation Method for Data Anonymization Based on Random Number Generators | |
dc.type | Makale | |
dc.relation.journal | JOURNAL OF WEB ENGINEERING | |
dc.contributor.department | İstanbul Üniversitesi-Cerrahpaşa , Teknik Bilimler Meslek Yüksek Okulu , Bilgisayar Teknolojileri Bölümü | |
dc.identifier.volume | 20 | |
dc.identifier.issue | 6 | |
dc.identifier.startpage | 1947 | |
dc.identifier.endpage | 1970 | |
dc.contributor.firstauthorID | 2771939 | |