Light Database Encryption Design Utilizing Multicore Processors for Mobile Devices

Mohammad Ahmed, Mohammad Alomari and Mohd Hafiz, Yusoff@Che Abdullah and R.Badlishah, Ahmad and Samsudin, K (2019) Light Database Encryption Design Utilizing Multicore Processors for Mobile Devices. In: Proceedings - 2019 IEEE 15th International Colloquium on Signal Processing and its Applications, CSPA 2019, 8-9 March 2019, Parkroyal Penang Resort Penang; Malaysia.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Embedded device, Multi-core cpus, Performance, SQLite RDBMS, Storage security
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions: Faculty of Informatics & Computing
Depositing User: Muhammad Akmal Azhar
Date Deposited: 22 Nov 2020 07:47
Last Modified: 22 Nov 2020 07:47

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