Title: A (t, n) threshold quantum visual secret sharing

Authors: Wenjie Liu; Yinsong Xu; Junxiu Chen; Ching-Nung Yang

Addresses: Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing, 210044, China; School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' Division Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan, 97441, China

Abstract: Secure data sharing is a deserving topic in wireless sensor networks. In order to deliver the information securely, we propose a (t, n) threshold quantum visual secret sharing (QVSS) scheme based on Naor et al.'s visual secret sharing (VSS) scheme, which consists of two phases: sharing process and recovering process. In the firs process, the colour information of each pixel from the original secret image is encoded into an n × m-qubit superposition state, and then these qubits are distributed as shares to all participants, respectively. During the recovering process, at least t participants cooperate to collect these shares of each pixel together, then perform the corresponding measurements and recovering algorithm to recover the whole secret image. The proposed scheme has the advantage of single-pixel parallel processing that is not available in the existing analogous quantum schemes. In addition, the performance evaluation of the scheme is discussed theoretically, and its experiment implementation with IBM Q is conducted to demonstrate the practical feasibility.

Keywords: threshold; n × m-qubit superposition state; single-pixel parallel processing; visual cryptography; visual secret sharing; sharing process; recovering process.

DOI: 10.1504/IJSNET.2020.107863

International Journal of Sensor Networks, 2020 Vol.33 No.2, pp.74 - 84

Received: 19 Sep 2019
Accepted: 31 Oct 2019

Published online: 20 Jun 2020 *

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