A Novel Approximation Algorithm for the Shortest Vector Problem
Finding the shortest vector in a lattice is a NP-hard problem. The best known approximation algorithm for this problem is LLL algorithm with the approximation factor of <inline-formula> <tex-math notation="LaTeX">\alpha ^{\frac {n-1}{2}} </tex-math></inline-formula>...
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| Published in: | IEEE access Vol. 12; pp. 141026 - 141031 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Piscataway
IEEE
2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 2169-3536, 2169-3536 |
| Online Access: | Get full text |
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| Summary: | Finding the shortest vector in a lattice is a NP-hard problem. The best known approximation algorithm for this problem is LLL algorithm with the approximation factor of <inline-formula> <tex-math notation="LaTeX">\alpha ^{\frac {n-1}{2}} </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">\alpha \geq \frac {4}{3} </tex-math></inline-formula>, which is not a good approximation factor. This work proposes a new polynomial time approximation algorithm for the shortest lattice vector problem. The proposed method makes use of only integer arithmetic and does not require Gram-Schmidt orthogonal basis for generating reduced basis. The proposed method is able to obtain an approximation factor of <inline-formula> <tex-math notation="LaTeX">\frac {1}{(1-\delta)} </tex-math></inline-formula>, where <inline-formula> <tex-math notation="LaTeX">0 \leq \delta \lt 1 </tex-math></inline-formula>. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2169-3536 2169-3536 |
| DOI: | 10.1109/ACCESS.2024.3469368 |