Graduate Thesis Or Dissertation
 

Ideal Thumbnail-Preserving Encryption for Balancing Image Privacy and Usability

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/8910k2213

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  • In this dissertation, we propose Ideal Thumbnail-Preserving Encryption (Ideal TPE), as a special case of format-preserving encryption, to balance image privacy and usability concerns in a cloud environment. We first introduce a concrete construction for Ideal TPE, that provably leaks nothing about the plaintext (unencrypted) image beyond its thumbnail. We then furnish a formal security analysis for the construction that yields asymptotic security. To demonstrate compatibility with existing photo storage services, we provide a prototype implementation. Furthermore, we study the usability impact of TPE encrypted images through a user study. We show that the ability of image owners to interact with TPE encrypted image thumbnails is not significantly reduced compared to the interactions with high-resolution images. Finally, we take into account the threat of low-resolution face-recognition against TPE, and propose adding a reversible face sanitization pre-processing step. We argue that this face sanitization approach can thwart low-resolution face recognition in a systematic way without compromising reversibility. We qualitatively show that sanitized TPE image thumbnails look visually similar to those of unsanitized TPE images, and hence are expected to offer similar usability. Our findings indicate that TPE and its enhanced version with face sanitization are promising approaches for balancing usability and privacy concerns for image storage in the cloud.
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  • Pending Publication
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  • 2021-03-20 to 2022-04-20

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