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Proceedings Paper • new

On privacy-protected outsourced processing for mobile multimedia
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Paper Abstract

Mobile devices are usually computationally restricted in carrying out complicated processing algorithms on its multimedia document. While cloud computing provides resources for customers, a major concern is the customer data's privacy and security. The information-theoretic secure (ITS) approach has some advantages over the homomorphic encryption approach. ITS is faster and requires much shorter encryption. In this paper, we proposed a framework based on the ITS paradigm using the linear secret sharing scheme for image and audio processing tasks on mobile devices. Our experiments were carried out on the Amazon EC2 commercial cloud platform with better performance than existing ones.

Paper Details

Date Published: 13 May 2019
PDF: 7 pages
Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 109930C (13 May 2019); doi: 10.1117/12.2519215
Show Author Affiliations
Tristen Svendsen, California State Univ., Chico (United States)
Zhaohong Wang, California State Univ., Chico (United States)


Published in SPIE Proceedings Vol. 10993:
Mobile Multimedia/Image Processing, Security, and Applications 2019
Sos S. Agaian; Vijayan K. Asari; Stephen P. DelMarco, Editor(s)

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