Titlebook: Data Security and Privacy Protection; Second International Xiaofeng Chen,Xinyi Huang,Moti Yung Conference proceedings 2025 The Editor(s) (i

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Embedding Data in Bitcoin Transaction Values with Restricted Boltzmann Machinetaset with embedded data that closely resembles the normal distribution. We have calculated the Kullback-Leibler Divergence and the Kolmogorov-Smirnov Test between the value dataset with embedded data and the normal value dataset under various embedding scenarios, revealing that the changes to the o

daredevil

Cross-Chain Asset Trading Scheme Without Trusted Third-Partytime performance. Simulation results demonstrate that Vchain’s cross-chain transaction costs are . lower than those of existing models. The research indicates that Vchain offers significant advantages in enhancing transaction efficiency and reducing costs, effectively addressing current challenges i

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Extended Withdrawable Signatures that can maintain signer ambiguity. After formally extending the definition and security notions for the existing withdrawable signature, we propose a generic construction of the extended withdrawable signature and provide an instantiation based on the Schnorr signature. We provide formal security

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cortisol

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A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network experiments and differential privacy defense experiments. The results show that FLGNN performs good robustness, and the success rate of privacy theft is further reduced by adding differential privacy defense methods.