Fingerprint-related chaotic image encryption scheme based on blockchain framework

Abstract

Chaotic image encryption has been greatly investigated in recent years. However, a considerable number of the encryption schemes had been cracked by chosen plaintext attack (CPA). Although the new proposed plaintext-related chaotic image encryption schemes can resist CPA effectively, the emerged key management problem is a hot potato. In this paper, a novel fingerprint-related chaotic image encryption scheme is proposed. The generation of key streams is affected by the fingerprints of distributors rather than the plaintexts of images. In addition, the blockchain framework is adopted to ensure that the encrypted image was sent correctly form the distributor. Moreover, the distributors’ fingerprints embedded in the encrypted images are encoded by the anti-collusion code in order to record multiple fingerprints with fixed length of data. The proposed method has the following superiorities: 1) Security. CPA is invalid because the attacker does not have the fingerprint of the legal receiver. Meanwhile, no key management problem is caused. 2) Authenticity. The image, the sender and the receiver are all verified by using blockchain framework. 3) Traceability. All distributors’ fingerprints can be extracted correctly from the merged fingerprint based on the anti-collusion code, and the transmission of the image can be traced.