Security and privacy in post-quantum blockchain using hybrid approach of subsets in SVP within lattice-based cryptography
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.
Authors
- Monica Sankat (ORCID: https://orcid.org/0009-0006-9018-4908)
- Nitu Ojha (ORCID: https://orcid.org/0000-0003-0392-0286)
- Ram Kumar
Publication Details
- Journal
- Journal of Discrete Mathematical Sciences and Cryptography
- Published
- 2025-01-01
- DOI
- https://doi.org/10.47974/jdmsc-2312
- Primary Topic
- Advanced Steganography and Watermarking Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00