2021
DOI: 10.1109/access.2021.3093925
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Forward-Secure Multi-User Aggregate Signatures Based on zk-SNARKs

Abstract: As a solution to mitigate the key exposure problems in the digital signature, the forward security has been proposed. The forward security guarantees the integrity of the messages generated in the past despite leaks of a current time period secret key by evolving a secret key on each time period. In this paper, we propose a new forward secure aggregate signature scheme utilizing recursive zk-SNARKs (zero knowledge Succinct Non-interactive ARguments of Knowledge). Our proposal has constant complexities in key/s… Show more

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Cited by 2 publications
(1 citation statement)
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“…However, these methods could be quite expensive for off-chain nodes. For example, the proving time of a CNN (Convolutional Neural Network) model on the dataset VGG16 [13] (around 568 MegaBytes) takes about 10 years [14] in the state-of-the art zk-SNARKs [15].…”
Section: Introductionmentioning
confidence: 99%
“…However, these methods could be quite expensive for off-chain nodes. For example, the proving time of a CNN (Convolutional Neural Network) model on the dataset VGG16 [13] (around 568 MegaBytes) takes about 10 years [14] in the state-of-the art zk-SNARKs [15].…”
Section: Introductionmentioning
confidence: 99%