Title :
Public Key Cryptosystems from the Multiplicative Learning with Errors
Author_Institution :
Sch. of Comput. Eng., Jiangsu Teachers Univ. of Technol., Changzhou, China
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;
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
DOI :
10.1109/MINES.2010.102