Overall optimization of the enumeration approach for the LWE problemLWE문제 열거방식 공격법의 통합적인 최적화

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Learning with errors (LWE) problem is an well-known problem for lattice cryptography. After Lindner and Peikert suggested an attack using bounded distance decoding (BDD) problem [LP11], it has been studied as one of the most practical ways to solve the LWE problem. We revisit the numerical optimization [GNR10] to optimize the BDD approach with pruned enumeration for solving LWE problem. Numerical minimization also takes the lattice reduction, enumeration radius, and subdimension into consideration.
Advisors
Hahn, Sanggeunresearcher한상근researcher
Description
한국과학기술원 :수리과학과,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 수리과학과, 2018.2,[ii, 23 p. :]

Keywords

LWE▼aBDD approach▼anumerical optimization▼apruned enumeration; LWE▼aBDD 공격▼a수치적 최적화▼apruned enumeration

URI
http://hdl.handle.net/10203/266415
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=867950&flag=dissertation
Appears in Collection
MA-Theses_Master(석사논문)
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