• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Speech Homomorphic Encryption Scheme with Less Data Expansion in Cloud Computing


Abstract

Speech homomorphic encryption has become one of the key components in secure speech storing in the public cloud computing. The major problem of speech homomorphic encryption is the huge data expansion of speech cipher-text. To address the issue, this paper presents a speech homomorphic encryption scheme with less data expansion, which is a probabilistic statistics and addition homomorphic cryptosystem. In the proposed scheme, the original digital speech with some random numbers selected is firstly grouped to form a series of speech matrix. Then, a proposed matrix encryption method is employed to encrypt that speech matrix. After that, mutual information in sample speech cipher-texts is reduced to limit the data expansion. Performance analysis and experimental results show that the proposed scheme is addition homomorphic, and it not only resists statistical analysis attacks but also eliminates some signal characteristics of original speech. In addition, comparing with Paillier homomorphic cryptosystem, the proposed scheme has less data expansion and lower computational complexity. Furthermore, the time consumption of the proposed scheme is almost the same on the smartphone and the PC. Thus, the proposed scheme is extremely suitable for secure speech storing in public cloud computing.


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Cite this article

[IEEE Style]
Canghong Shi, Hongxia Wang, Yi Hu, Qing Qian and Hong Zhao, "A Speech Homomorphic Encryption Scheme with Less Data Expansion in Cloud Computing," KSII Transactions on Internet and Information Systems, vol. 13, no. 5, pp. 2588-2609, 2019. DOI: 10.3837/tiis.2019.05.020

[ACM Style]
Shi, C., Wang, H., Hu, Y., Qian, Q., and Zhao, H. 2019. A Speech Homomorphic Encryption Scheme with Less Data Expansion in Cloud Computing. KSII Transactions on Internet and Information Systems, 13, 5, (2019), 2588-2609. DOI: 10.3837/tiis.2019.05.020