2019 4th International Conference on Computer Science and Engineering (UBMK) 2019
DOI: 10.1109/ubmk.2019.8907201
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Post Quantum Learning With Errors Problem Based Key Encapsulation Protocols and Matrix Vector Product

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Cited by 4 publications
(13 citation statements)
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“…Significant progress has been made to improve the asymptotical and practical efficiency of SVP and lattice reduction algorithms [13][14][15][16][17][18][19] and to better understand their behaviours [20][21][22][23]. Based on the cost models of SVP and lattice reduction, some generic cryptanalysis methodologies were presented with extensive experimental verifications [24][25][26]. Additionally, there are various attacks proposed to specific security models and parameters.…”
Section: Systematic Security Estimatesmentioning
confidence: 99%
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“…Significant progress has been made to improve the asymptotical and practical efficiency of SVP and lattice reduction algorithms [13][14][15][16][17][18][19] and to better understand their behaviours [20][21][22][23]. Based on the cost models of SVP and lattice reduction, some generic cryptanalysis methodologies were presented with extensive experimental verifications [24][25][26]. Additionally, there are various attacks proposed to specific security models and parameters.…”
Section: Systematic Security Estimatesmentioning
confidence: 99%
“…x; yÞ A, b) is an LWE sample, then 〈u, b〉 = −〈v, s〉 + 〈u, e〉 mod q is closely distributed as a Gaussian of standard deviation ℓ 1 ℓ 2 ffi ffi ffi ffi ffi ffi ffiffi ⋅ q m=d where d = m + n. In the concrete cryptanalysis, the attacker needs about 1/ϵ 2 many such short vectors to get a success probability at least 1/ 2. For more details, we refer [24].…”
Section: �àmentioning
confidence: 99%
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