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This research presents a novel algorithm improving efficiency against quantum attacks in blockchain, indicating potential in secure cryptographic systems.
This article addresses the challenges in improving the efficiency of solving the lattice-based cryptographic, Shortest Vector Problem (SVP), which is a crucial element to improve the security against the potential quantum attacks. We present a novel algorithm that integrates the concept of subsets generation with the SVP to enhance the efficiency of the lattice-based cryptographic schemes. This research delivers advancement by providing a more efficient method of solving the SVP. The method in this paper contributes towards the development of the security and privacy in cryptographic systems in the post-quantum era, surfacing the way for a vigorous encryption protocol.
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Kumar et al. (2025) studied this question.
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