Abstract
We propose a quantum secure multiparty multidata ranking (QSMMR) protocol based on quantum walks. Our protocol improves the traditional anonymous ranking protocol to secure ranking, where we ensure the confidentiality of the data. A quantum anonymous ranking protocol exposes all participants’ data, which is not ideal for practical scenarios such as personal wealth and health indexes. Hence, we propose the first quantum secure ranking protocol with semi-honest TP, that generates ranking for multiple data of multiple participants by keeping data completely secure. We use quantum resources to assign a random address to all participants, to perform comparison, and for the eavesdropper detection. Finally, we analyze and prove the security of the protocol.
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