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We proposed a model for securely sharing evidence while maintaining its legal validity within a blockchain environment.
The proposed model enhances data encryption by applying DPRFs to perform encryption and decryption based on values generated by computing nodes.
Additionally, to mitigate data exposure risks associated with collusion attacks form malicious attackers, a random leader selection technique is employed to thwart premeditated collusion efforts.
All values transmitted during the sharing process of the proposed model are recorded as transactions, and these transmitted values also include digital signatures. This approach ensures integrity, non-repudiation, and traceability.
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