Galois Field-Based Image Encryption for Remote Transmission of Tumor Ultrasound Images

Autor: Nan Wang, Guixin Di, Xiaolan Lv, Min Hou, Dan Liu, Jun Zhang, Xiaojing Duan
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: IEEE Access, Vol 7, Pp 49945-49950 (2019)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2910563
Popis: The remote transmission of tumor ultrasound images is an important link in telemedicine. Based on the Galois field (GF), this paper proposes an encryption algorithm that ensures the security of tumor ultrasound images (TUIs) during the transmission. First, the grayscale image of the TUI was generated by the secure hash algorithm 1 (SHA-1) algorithm, and the resulting hash value was taken as the medical record summary, which was used to monitor the transmission of the TUI. Second, the 2D ciphertext image was expanded into 1D vectors, and the TUI was encrypted with the non-repetitive scrambling algorithm, coupled with two diffusion algorithms. The simulation results show that the coupled algorithm can ensure the safety of the TUIs in remote transmission.
Databáze: Directory of Open Access Journals