Abstract
In this paper, we verify conversation between two parties to ensure any information in the matter discussed during the dialogue is not disclose to other parties. We tackle this problem through decoy and steganography to detect the parties’ identities if any of them is incorrect, and to ensure that the conversation channel is secured. We propose using DFS immune-combined noise characteristics, a generalized entangled states that converts previously shared IDs into logical quantum states for noise immunity, randomly mixed message sequence and transmit. We perform identity authentication and eavesdropping detections to improve the security and efficiency of agreement between the parties.
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Li, DF., Wang, RJ., Adu-Gyamfi, D., Chen, Jl., Yang, YM., Liu, MZ. (2018). Authentication of Quantum Dialogue Under Noise. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11067. Springer, Cham. https://doi.org/10.1007/978-3-030-00018-9_10
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DOI: https://doi.org/10.1007/978-3-030-00018-9_10
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