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  1. Proceedings of the 2013 ACM workshop on Cloud computing security workshop (CCSW '13)
  2. Secure pattern matching using somewhat homomorphic encryption
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A versatile code execution isolation framework with security first
Authenticated storage using small trusted hardware
On the (Im)possibility of privately outsourcing linear programming
Structural cloud audits that protect private information
An architecture for concurrent execution of secure environments in clouds
CloudSweeper: enabling data-centric document management for secure cloud archives
Secure pattern matching using somewhat homomorphic encryption
Cloudoscopy: services discovery and topology mapping
Generalized external interaction with tamper-resistant hardware with bounded information leakage
Supporting complex queries and access policies for multi-user encrypted databases
Beyond the ideal object: towards disclosure-resilient order-preserving encryption schemes

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Secure pattern matching using somewhat homomorphic encryption

Content Provider ACM Digital Library
Author Shimoyama, Takeshi Kogure, Jun Yokoyama, Kazuhiro Yasuda, Masaya Koshiba, Takeshi
Abstract The basic pattern matching problem is to find the locations where a pattern occurs in a text. Recently, secure pattern matching has been received much attention in various areas, including privacy-preserving DNA matching and secure biometric authentication. The aim of this paper is to give a practical solution for this problem using homomorphic encryption, which is public key encryption supporting some operations on encrypted data. In this paper, we make use of the somewhat homomorphic encryption scheme presented by Lauter, Naehrig and Vaikuntanathan (ACM CCSW 2011), which supports a limited number of both additions and multiplications on encrypted data. In their work, some message encoding techniques are also presented for enabling us to efficiently compute sums and products over the integers. Based on their techniques, we propose a new packing method suitable for an efficient computation of multiple Hamming distance values on encrypted data. Our main extension gives two types of packed ciphertexts, and a linear computation over packed ciphertexts gives our desired results. We implemented the scheme with our packing method. Our experiments ran in an Intel Xeon at 3.07 GHz with our software library using inline assembly language in C programs. Our optimized implementation shows that the packed encryption of a text or a pattern, the computation of multiple Hamming distance values over packed ciphertexts, and the decryption respectively take about 3.65 milliseconds (ms), 5.31 ms, and 3.47 ms for secure exact and approximate pattern matching of a binary text of length 2048. The total time is about 12.43 ms, which would give the practical performance in real life. Our method gives both faster performance and lower communication than the state-of-the-art work for a binary text of several thousand bits in length.
Starting Page 65
Ending Page 76
Page Count 12
File Format PDF
ISBN 9781450324908
DOI 10.1145/2517488.2517497
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-11-08
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Packing method The hamming distance Somewhat homomorphic encryption Pattern matching
Content Type Text
Resource Type Article
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