DocumentCode
2722591
Title
Efficient Fully Homomorphic Encryption from (Standard) LWE
Author
Brakerski, Zvika ; Vaikuntanathan, Vinod
fYear
2011
fDate
22-25 Oct. 2011
Firstpage
97
Lastpage
106
Abstract
We present a fully homomorphic encryption scheme that is based solely on the (standard) learning with errors (LWE) assumption. Applying known results on LWE, the security of our scheme is based on the worst-case hardness of "short vector problems" on arbitrary lattices. Our construction improves on previous works in two aspects: 1) We show that "somewhat homomorphic" encryption can be based on LWE, using a new re-linearization technique. In contrast, all previous schemes relied on complexity assumptions related to ideals in various rings. 2) We deviate from the "squashing paradigm" used in all previous works. We introduce a new dimension-modulus reduction technique, which shortens the ciphertexts and reduces the decryption complexity of our scheme, without introducing additional assumptions. Our scheme has very short ciphertexts and we therefore use it to construct an asymptotically efficient LWE-based single-server private information retrieval (PIR) protocol. The communication complexity of our protocol (in the public-key model) is k · polylog(k) + log |DB| bits per single-bit query (here, A; is a security parameter).
Keywords
communication complexity; cryptographic protocols; data privacy; information retrieval; public key cryptography; LWE based single server private information retrieval protocol; ciphertext; communication complexity; decryption complexity; dimension modulus reduction technique; fully homomorphic encryption scheme; learning with error assumption; public key model; relinearization technique; short vector problem; somewhat homomorphic encryption; squashing paradigm; worst case hardness; Complexity theory; Databases; Encryption; Lattices; Protocols; Fully Homomorphic Encryption; Lattices; Learning with Errors;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science (FOCS), 2011 IEEE 52nd Annual Symposium on
Conference_Location
Palm Springs, CA
ISSN
0272-5428
Print_ISBN
978-1-4577-1843-4
Type
conf
DOI
10.1109/FOCS.2011.12
Filename
6108154
Link To Document