Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/3843
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sopaoğlu, Uğur | - |
dc.contributor.author | Abul, Osman | - |
dc.date.accessioned | 2020-10-22T16:40:33Z | - |
dc.date.available | 2020-10-22T16:40:33Z | - |
dc.date.issued | 2020-06 | - |
dc.identifier.citation | Sopaoglu, U., Abul, O. (2019). A utility based approach for data stream anonymization. Journal of Intelligent Information Systems, 1-27. | en_US |
dc.identifier.issn | 0925-9902 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/3843 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs10844-019-00577-6 | - |
dc.description.abstract | Data streams are good models to characterize dynamic, on-line, fast and high-volume data requirements of today's businesses. However, sensitivity of data is usually an obstacle for deployment of many data streams applications. To address this challenging issue, many privacy preserving models, including k-anonymity, have been adapted to data streams. Data stream anonymization frameworks have already addressed how to preserve data quality as much as possible under bounded delays. In this work, our main motivation is to minimize average delay while keeping data quality high. It is our claim that data utility is a function of both data quality and data aging in data streams processing tasks. However, there is a tradeoff between data aging and data quality optimizations. To this end, we present a tunable data stream k-anonymization framework and an algorithm named UBDSA (Utility Based Approach for Data Stream Anonymization). To attain high quality anonymity groups, UBDSA also introduces a new distance metric, named CAIL (Cardinality Aware Information Loss). Our experimental evaluations compare performance of UBDSA with the literature, and the results show its merit in terms of better average delay and information loss. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Journal of Intelligent Information Systems | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Data streams | en_US |
dc.subject | data anonymization | en_US |
dc.subject | data privacy | en_US |
dc.subject | clustering | en_US |
dc.title | A utility based approach for data stream anonymization | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 54 | - |
dc.identifier.issue | 3 | - |
dc.identifier.startpage | 605 | - |
dc.identifier.endpage | 631 | - |
dc.authorid | 0000-0002-9284-6112 | - |
dc.identifier.wos | WOS:000532201200009 | en_US |
dc.identifier.scopus | 2-s2.0-85074539054 | en_US |
dc.institutionauthor | Abul, Osman | - |
dc.identifier.doi | 10.1007/s10844-019-00577-6 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q2 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.3. Department of Computer Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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