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