Efficient Verifiable Image Redacting based on zk-SNARKsopen access
- Authors
- Ko, Hankyung; Lee, Ingeun; Lee, Seunghwa; Kim, Jihye; Oh, 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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