4.6 Article

Secure Outsourced Computation of Matrix Determinant Based on Fully Homomorphic Encryption

期刊

IEEE ACCESS
卷 9, 期 -, 页码 22651-22661

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3056476

关键词

Encryption; Cloud computing; Servers; Symmetric matrices; Differential privacy; Task analysis; Outsourcing; Secure outsourced computation; matrix determinant; computation over encrypted data; fully homomorphic encryption

资金

  1. Zhejiang Provincial General Scientific Research Projects Fund of China [Y201942830]
  2. Zhejiang Sci-Tech University Graduate Dissertation Development Fund [2019M80]

向作者/读者索取更多资源

This paper investigates secure outsourced computation of matrix determinant based on fully homomorphic encryption and proposes an efficient secure outsourced computation scheme. Experimental results show that the scheme efficiently computes the matrix determinant and can be easily applied as a submodule in high-level applications.
Fully homomorphic encryption enables to perform arbitrary computation over encrypted data, providing a powerful tool for secure outsourced computation on an untrusted environment. This paper investigates secure outsourced computation of matrix determinant based on fully homomorphic encryption. We propose an efficient secure outsourced computation scheme for matrix determinant based on an efficient matrix encoding technique called hypercube structure which packs a matrix into a single ciphertext. Experimental results show that our scheme efficiently computes the matrix determinant in the ciphertext domain. Finally, we show that our proposed scheme can be easily applied as a submodule in the high-level applications.

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