Communications of the ACM
Efficient Byzantine-Tolerant Erasure-Coded Storage
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Plutus: Scalable Secure File Sharing on Untrusted Storage
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
Extractable Perfectly One-Way Functions
ICALP '08 Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part II
Achieving secure, scalable, and fine-grained data access control in cloud computing
INFOCOM'10 Proceedings of the 29th conference on Information communications
Non-interactive verifiable computing: outsourcing computation to untrusted workers
CRYPTO'10 Proceedings of the 30th annual conference on Advances in cryptology
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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 encoding scheme uses a chaotic map to transform the image after it is masked with an arbitrarily chosen ambient image. A simplified prototype of the image processing system was implemented and the experimental results are presented in this paper. Our prototype shows the feasibility of performing a class of image processing tasks on images encoded for privacy.