Vol.124, No.2, 2020, pp.573-584, doi:10.32604/cmes.2020.010445
OPEN ACCESS
ARTICLE
Quantum Risk Assessment Model Based on Two Three-Qubit GHZ States
  • Tao Zheng, Yan Chang, Shibin Zhang*
School of Cyber Security, Chengdu University of Information Technology, Chengdu, 610225, China
* Corresponding Author: Shibin Zhang. Email: cuitzsb@cuit.edu.cn
Received 05 March 2020; Accepted 18 May 2020; Issue published 20 July 2020
Abstract
With the acceleration of the construction of quantum communication networks, scholars have proposed different quantum communication protocols for different application scenarios. However, few scholars pay attention to the risk assessment process before communication. In this paper, we propose a novel quantum risk assessment model based on quantum teleportation technology with two three-qubit GHZ states. Only by using Bell states measurements (BSMs) and two-qubit projective measurements (PJMs), the communicators can recovery any arbitrary two-qubit state. This protocol can transmit two-dimension risk assessment factors with better security performance. On the one hand, more sufficient evaluation factors allow the two communicating parties to more objectively evaluate the risk level of communication with the other party, and on the other hand, it also improves the qubit efficiency of the protocol. Moreover, we introduce the third party in this scheme can be semi-trusted, which must be full-trusted in our previous work. This change can reduce the dependence of the communication parties on the third-party organization and improve the privacy of communication. The security analysis shows that this scheme can resist internal and external attacks, and the quantum circuit diagrams also prove that our protocol is physically easier to implement.
Keywords
Quantum risk assessment model; quantum communication; two threequbit GHZ states; quantum network
Cite This Article
Zheng, T., Chang, Y., Zhang, S. (2020). Quantum Risk Assessment Model Based on Two Three-Qubit GHZ States. CMES-Computer Modeling in Engineering & Sciences, 124(2), 573–584.
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