適地性系統的資料外包安全性研究

dc.contributor陳伶志zh_TW
dc.contributorLing-Jyh Chenen_US
dc.contributor.author洪辰叡zh_TW
dc.contributor.authorChen-Ruei Hongen_US
dc.date.accessioned2019-09-05T11:19:48Z
dc.date.available2015-2-1
dc.date.available2019-09-05T11:19:48Z
dc.date.issued2015
dc.description.abstractLocation-based systems (LBS) represent an emerging genre of applications that exploit positioning technologies and facilitate a wide range of location-based services. Unlike conventional information systems, LBS data management is challenging because LBS data is high dimensional and spatio-temporal in nature, and information leakage may result in location related privacy crises. The issue has become even more complicated, as database outsourcing has become inevitable in view of the emerging popularity of LBS deployment. In this paper, we tackle the research challenge and propose a SecUre Database Outsourcing system, called SUDO. By combining the techniques of Hilbert space-filling curves, different invertible encryption algorithms, and genuine mixed data, we show that SUDO is capable of preserving location privacy and ownership of data for LBS against different attacks. Moreover, the proposed solution is simple, effective, and scalable; and it shows promise in supporting LBS data management with outsourced databases.zh_TW
dc.description.abstractLocation-based systems (LBS) represent an emerging genre of applications that exploit positioning technologies and facilitate a wide range of location-based services. Unlike conventional information systems, LBS data management is challenging because LBS data is high dimensional and spatio-temporal in nature, and information leakage may result in location related privacy crises. The issue has become even more complicated, as database outsourcing has become inevitable in view of the emerging popularity of LBS deployment. In this paper, we tackle the research challenge and propose a SecUre Database Outsourcing system, called SUDO. By combining the techniques of Hilbert space-filling curves, different invertible encryption algorithms, and genuine mixed data, we show that SUDO is capable of preserving location privacy and ownership of data for LBS against different attacks. Moreover, the proposed solution is simple, effective, and scalable; and it shows promise in supporting LBS data management with outsourced databases.en_US
dc.description.sponsorship資訊工程學系zh_TW
dc.identifierGN060147045S
dc.identifier.urihttp://etds.lib.ntnu.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dstdcdr&s=id=%22GN060147045S%22.&%22.id.&
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/106608
dc.language英文
dc.subjectLocation-based Systemzh_TW
dc.subjectDatabase Outsourcingzh_TW
dc.subjectLocation-based Systemen_US
dc.subjectDatabase Outsourcingen_US
dc.title適地性系統的資料外包安全性研究zh_TW
dc.titleSUDO: A Secure Database Outsourcing Solution for Location-based Systemsen_US

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