適地性系統的資料外包安全性研究
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Date
2015
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Abstract
Location-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.
Location-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.
Location-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.
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Keywords
Location-based System, Database Outsourcing, Location-based System, Database Outsourcing