TY - JOUR
T1 - Efficient Secure Matrix Multiplication over LWE-Based Homomorphic Encryption
AU - Duong, Dung Hoang
AU - Mishra, Pradeep Kumar
AU - Yasuda, Masaya
N1 - Publisher Copyright:
© 2016 Mathematical Institute, Slovak Academy of Sciences.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Homomorphic encryption enables various calculations while preserving the data confidentiality. In this paper, we apply the somewhat homomorphic encryption scheme proposed by Brakerski and Vaikuntanathan (CRYPTO 2011) to secure matrix multiplication between two matrices. To reduce both the ciphertext size and the computation cost, we propose a new method to pack a matrix into a single ciphertexts so that it also enables efficient matrix multiplication over the packed ciphertexts. Our packing method generalizes Yasuda et al.'s methods (Security Comm. Networks 2015 and ACISP 2015), which are for secure inner product. We also implement our methods and give a comparison with previous packing methods.
AB - Homomorphic encryption enables various calculations while preserving the data confidentiality. In this paper, we apply the somewhat homomorphic encryption scheme proposed by Brakerski and Vaikuntanathan (CRYPTO 2011) to secure matrix multiplication between two matrices. To reduce both the ciphertext size and the computation cost, we propose a new method to pack a matrix into a single ciphertexts so that it also enables efficient matrix multiplication over the packed ciphertexts. Our packing method generalizes Yasuda et al.'s methods (Security Comm. Networks 2015 and ACISP 2015), which are for secure inner product. We also implement our methods and give a comparison with previous packing methods.
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U2 - 10.1515/tmmp-2016-0031
DO - 10.1515/tmmp-2016-0031
M3 - Article
AN - SCOPUS:85014674939
SN - 1210-3195
VL - 67
SP - 69
EP - 83
JO - Tatra Mountains Mathematical Publications
JF - Tatra Mountains Mathematical Publications
IS - 1
ER -