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Proceedings Paper

NES++: number system for encryption based privacy preserving speaker verification
Author(s): Lei Xu; Tao Feng; Xi Zhao; Weidong Shi
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Paper Abstract

As speech based operation becomes a main hand-free interaction solution between human and mobile devices (i.e., smartphones, Google Glass), privacy preserving speaker verification receives much attention nowadays. Privacy preserving speaker verification can be achieved through many different ways, such as fuzzy vault and encryption. Encryption based solutions are promising as cryptography is based on solid mathematic foundations and the security properties can be easily analyzed in a well established framework. Most current asymmetric encryption schemes work on finite algebraic structures, such as finite group and finite fields. However, the encryption scheme for privacy preserving speaker verification must handle floating point numbers. This gap must be filled to make the overall scheme practical. In this paper, we propose a number system that meets the requirements of both speaker verification and the encryption scheme used in the process. It also supports addition homomorphic property of Pailliers encryption, which is crucial for privacy preserving speaker verification. As asymmetric encryption is expensive, we propose a method of packing several numbers into one plain-text and the computation overhead is greatly reduced. To evaluate the performance of this method, we implement Pailliers encryption scheme over proposed number system and the packing technique. Our findings show that the proposed solution can fulfill the gap between speaker verification and encryption scheme very well, and the packing technique improves the overall performance. Furthermore, our solution is a building block of encryption based privacy preserving speaker verification, the privacy protection and accuracy rate are not affected.

Paper Details

Date Published: 22 May 2014
PDF: 7 pages
Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 91200L (22 May 2014); doi: 10.1117/12.2053210
Show Author Affiliations
Lei Xu, Univ. of Houston (United States)
Tao Feng, Univ. of Houston (United States)
Xi Zhao, Univ. of Houston (United States)
Weidong Shi, Univ. of Houston (United States)

Published in SPIE Proceedings Vol. 9120:
Mobile Multimedia/Image Processing, Security, and Applications 2014
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

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