Presentation + Paper
13 May 2019 On privacy-protected outsourced processing for mobile multimedia
Author Affiliations +
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.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tristen Svendsen and Zhaohong Wang "On privacy-protected outsourced processing for mobile multimedia", Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 109930C (13 May 2019); https://doi.org/10.1117/12.2519215
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KEYWORDS
Clouds

Multimedia

Computer simulations

Mobile devices

Data processing

Data modeling

Computer security

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