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MobiGyges: A Mobile Hidden Volume for Preventing Data Loss, Improving Storage Utilization, and Avoiding Device Reboot

Feng, W, Liu, C, Guo, Z, Baker, T, Wang, G, Wang, M, Cheng, B and Chen, J (2020) MobiGyges: A Mobile Hidden Volume for Preventing Data Loss, Improving Storage Utilization, and Avoiding Device Reboot. Future Generation Computer Systems, 109. pp. 158-171. ISSN 0167-739X

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Sensitive data protection is essential for mobile users. Plausibly Deniable Encryption (PDE) systems provide an effective manner to protect sensitive data by hiding them on the device. However, existing PDE systems can lose data due to overriding the hidden volume, waste physical storage because of the “reserved area” used for avoiding data loss, and require device reboot when using the hidden volume. This paper presents MobiGyges, a hidden volume based mobile PDE system, to fill the gap. MobiGyges addresses the problem of data loss by restricting each storage block used only by one volume, and it improves storage utilization by eliminating the “reserved area”. MobiGyges can also avoid device reboot by mounting the hidden volume dynamically on-demand with the Dynamic Mounting service. Moreover, we identify two novel PDE oriented attacks, the capacity comparison attack and the fill-to-full attack. MobiGyges can defend them by jointly leveraging the Shrunk U-disk method and multi-level deniability. We implement the MobiGyges proof-of-concept system on a real mobile phone Google Nexus 6P with LineageOS 13. Experimental results show that MobiGyges prevents data loss, avoids device reboot, improves storage utilization by over 30% with acceptable performance overhead compared with current works.

Item Type: Article
Uncontrolled Keywords: 0805 Distributed Computing, 0806 Information Systems, 0803 Computer Software
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science & Mathematics
Publisher: Elsevier
Date Deposited: 31 Mar 2020 08:46
Last Modified: 12 Jan 2022 17:15
DOI or ID number: 10.1016/j.future.2020.03.048
URI: https://researchonline.ljmu.ac.uk/id/eprint/12618
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