DocumentCode
1703957
Title
Public Key Cryptosystems from the Multiplicative Learning with Errors
Author
Chunsheng, Gu
Author_Institution
Sch. of Comput. Eng., Jiangsu Teachers Univ. of Technol., Changzhou, China
fYear
2010
Firstpage
456
Lastpage
459
Abstract
We construct two public key cryptosystems based on the multiplicative learning with errors (MLWE) problem. The cryptosystem 1 (resp. 2) are semantically secure assuming the worst-case hardness of the decisional composite residuosity problem and the search (resp. decisional) LWE problem, which implies approximating the shortest vector problem in a lattice to small polynomial factors. Namely, our cryptosystems are secure as long as one of them is hard. Moreover, the cryptosystem 1 can be adapted to the chosen ciphertext secure cryptosystem. In addition, the cryptosystem 2 has the additively homomorphic property.
Keywords
learning (artificial intelligence); public key cryptography; MLWE; additively homomorphic property; ciphertext secure cryptosystem; decisional composite residuosity problem; multiplicative learning with errors problem; public key cryptosystems; search LWE problem; shortest vector problem; Lattices; Noise measurement; Public key cryptography; Search problems; Decisional Composite Residuosity Assumption; Factoring Integer; Lattice-based Cryptography; Multiplicative Learning with Errors; Public-key Cryptography;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location
Nanjing, Jiangsu
Print_ISBN
978-1-4244-8626-7
Electronic_ISBN
978-0-7695-4258-4
Type
conf
DOI
10.1109/MINES.2010.102
Filename
5671042
Link To Document