Abstract
Big data is often thought as a large number of virous unstructured forms of data. Expensive intelligent computing engineering techniques of critical systems that are not cost-effective for non-critical systems may sometimes be used as a intelligent protection system. The private comparison is to compare the equality of the secret information of two parties privately, without disclosing any actual information. These secret information of two parties are big data that need to be analysed for comparison privately in critical system. Quantum private comparison is more safer than classic private comparison based on the theory of quantum mechanics. In this paper, a big data quantum private comparison scheme with intelligent third party is proposed. Two distrustful parties Alice and Bob compare the equivalence of big data information by quantum computing with the help of the intelligent robot belonged to a semi-honest third party Calvin. The participants including the intelligent robot are just required having the ability to prepare photons and perform measurement, which makes the presented protocol be more feasible in technique. The transmitted particles is in the anticlockwise order with a circle that make the transferred private information to be more safe. The technique of entanglement swapping makes the comparison be achieved with the help of the intelligent robot. Due to the photon transmission is a one-way distribution, the Trojan horse attack can be automatically avoided. It is secure against the various well-known attacks.
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Acknowledgments
The research is funded by National Natural Science Foundation of China, under Grant Nos. 61003258, 61472165, and Science and Technology Planning Project of Guang-dong Province, China, under Grant No. 2013B010401018, and Natural Science Foundation of Guangdong Province, China, under Grant No. 2014A030310245, and Guangzhou Zhujiang Science and Technology Future Fellow Fund, under Grant No. 2012J2200094.
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Tan, X., Zhang, X. & Li, J. Big data quantum private comparison with the intelligent third party. J Ambient Intell Human Comput 6, 797–806 (2015). https://doi.org/10.1007/s12652-015-0297-4
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DOI: https://doi.org/10.1007/s12652-015-0297-4