Light Database Encryption Design Utilizing Multicore Processors for Mobile Devices
The confidentiality of data stored in embedded and handheld devices has become an urgent necessity more than ever before. Encryption of sensitive data is a well-known technique to preserve their confidentiality, however it comes with certain costs that can heavily impact the device processing reso...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2019
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Subjects: | |
Online Access: | http://eprints.unisza.edu.my/1770/1/FH03-FIK-19-25491.pdf http://eprints.unisza.edu.my/1770/2/FH03-FIK-20-36659.pdf http://eprints.unisza.edu.my/1770/ |
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Institution: | Universiti Sultan Zainal Abidin |
Language: | English English |
Summary: | The confidentiality of data stored in embedded and handheld devices has become an urgent necessity more than ever
before. Encryption of sensitive data is a well-known technique to preserve their confidentiality, however it comes with
certain costs that can heavily impact the device processing resources. Utilizing multicore processors, which are
equipped with current embedded devices, has brought a new era to enhance data confidentiality while maintaining
suitable device performance. Encrypting the complete storage area, also known as Full Disk Encryption (FDE) can still
be challenging, especially with newly emerging massive storage systems. Alternatively, since the most user sensitive
data are residing inside persisting databases, it will be more efficient to focus on securing SQLite databases, through
encryption, where SQLite is the most common RDBMS in handheld and embedded systems. This paper addresses the
problem of ensuring data protection in embedded and mobile devices while maintaining suitable device performance
by mitigating the impact of encryption. We presented here a proposed design for a parallel database encryption
system, called SQLite-XTS. The proposed system encrypts data stored in databases transparently on-the-fly without
the need for any user intervention. To maintain a proper device performance, the system takes advantage of the
commodity multicore processors available with most embedded and mobile devices. |
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