Ghost identification based on single-pixel imaging in big data environment

In this paper, a big data environment for the first time to my knowledge is designed and introduced into single-pixel ghost imaging for securing information. Many series of one-dimensional ciphertexts are recorded by a single-pixel bucket detector to form a big data environment. Several hidden inputs are further encoded based on ghost imaging by using hierarchical structure, and their corresponding ciphertexts are synthesized into the big data environment for verifying the hidden ghosts and identifying the targeted ghosts. This new finding could open up a different research perspective for exploring more applications based on single-pixel imaging.