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 :
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