Practical Homomorphic Encryption Over the Integers for Secure Computation in the Cloud

James Dyer, Martin Dyer, Jie Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)


We present novel homomorphic encryption schemes for integer arithmetic, intended primarily for use in secure single-party computation in the cloud. These schemes are capable of securely computing arbitrary degree polynomials homomorphically. In practice, ciphertext size and running times limit the polynomial degree, but this appears sufficient for most practical applications. We present four schemes, with increasing levels of security, but increasing computational overhead. Two of the schemes provide strong security for high-entropy data. The remaining two schemes provide strong security regardless of this assumption. These four algorithms form the first two levels of a hierarchy of schemes which require linearly decreasing entropy. We have evaluated these four algorithms by computing low-degree polynomials. The timings of these computations are extremely favourable by comparison with even the best of existing methods, and dramatically out-perform running times of directly comparable schemes by a factor of up to 1000, and considerably more than that for fully homomorphic schemes, used in the same context. The results clearly demonstrate the practical applicability of our schemes.

Original languageEnglish
Title of host publicationCryptography and Coding
Subtitle of host publication16th IMA International Conference, IMACC 2017, Oxford, UK, December 12-14, 2017, Proceedings
EditorsMáire O’Neill
Place of PublicationCham
PublisherSpringer Verlag
Number of pages33
ISBN (Electronic)9783319710457
ISBN (Print)9783319710440
Publication statusPublished - 26 Nov 2017
Externally publishedYes
Event16th IMA International Conference on Cryptography and Coding - Oxford, United Kingdom
Duration: 12 Dec 201714 Dec 2017
Conference number: 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10655 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference16th IMA International Conference on Cryptography and Coding
Abbreviated titleIMACC 2017
Country/TerritoryUnited Kingdom


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