Distortion less secret image sharing scheme for Internet of Things system

Secret image sharing is the study of sharing a secret image with several participants to prevent the malicious participant obtaining information about the secret image. Traditional methods generate meaningless shares, which are unintelligible and easily lead to suspicions of secret image encryption. Rather, sharing methods with steganography were studied. In this paper, a novel secret sharing scheme for image is proposed based on Shamir's polynomials with steganography the Internet of Things (IoT) system, where IoT devices could share images seamlessly between them over cloud. In this proposed method, secret shares are generated from the cover image and secret information, and the shares of IoT services are embedded back to the cover image based on on-ary notational system, which creates stego-shadow images. Experimental results and analysis show that the proposed scheme can recover both the secret information and cover image lossless. Besides, it achieves high embedding capacity, obtains stego-shadow images of high quality and resists the histogram analysis.