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Efficient Verifiable Image Redacting based on zk-SNARKsopen access

Authors
Ko, HankyungLee, IngeunLee, SeunghwaKim, JihyeOh, Hyunok
Issue Date
May-2021
Publisher
Association for Computing Machinery, Inc
Keywords
filtering; image authentication; privacy; zk-SNARK
Citation
ASIA CCS 2021 - Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security, pp.213 - 226
Indexed
SCOPUS
Journal Title
ASIA CCS 2021 - Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security
Start Page
213
End Page
226
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/1134
DOI
10.1145/3433210.3453110
ISSN
0000-0000
Abstract
Image is a visual representation of a certain fact and can be used as proof of events. As the utilization of the image increases, it is required to prove its authenticity with the protection of its sensitive personal information. In this paper, we propose a new efficient verifiable image redacting scheme based on zk-SNARKs, a commitment, and a digital signature scheme. We adopt a commit-and-prove SNARK scheme which takes commitments as inputs, in which the authenticity can be quickly verified outside the circuit. We also specify relations between the original and redacted images to guarantee the redacting correctness. Our experimental results show that the proposed scheme is superior to the existing works in terms of the key size and proving time without sacrificing the other parameters. The security of the proposed scheme is proven formally.
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