Privacy Enhanced Pixel-Level Image Processing in the Clouds

被引：0

作者：

Nourian, Arash ^{[1
]}

Maheswaran, Muthucumaru ^{[1
]}

机构：

[1] McGill Univ, Sch Comp Sci, Montreal, PQ H3A 2A7, Canada

来源：

2012 IEEE/ACM FIFTH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING (UCC 2012) | 2012年

关键词：

ENCRYPTION ALGORITHM; CHAOS;

D O I：

10.1109/UCC.2012.13

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Image processing and storage are enormously resource intensive tasks that can benefit from cloud computing. Lack of robust mechanisms for controlling the privacy of the data outsourced to clouds is one of the concerns in using clouds for image processing. This paper presents a new image encoding scheme that enhances the privacy of the images outsourced to the clouds while allowing the clouds to perform certain forms of computations on the images. Our prototype shows the feasibility of performing a class of image processing tasks on images encoded for privacy.

引用

页码：235 / 236

页数：2

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