Intelligent Symmetric Cryptography With Chaotic Map and Quantum Based Key Generator for Medical Images Infosecurity

• Published in: IEEE access Vol. 9; pp. 118624 - 118639
• Main Authors: Lin, Chia-Hung, Wu, Jian-Xing, Chen, Pi-Yun, Lai, Hsiang-Yueh, Li, Chien-Ming, Kuo, Chao-Lin, Pai, Neng-Sheng
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Biomedical imaging; Chaos theory; Chaotic communication; chaotic map and quantum-based key generator; Ciphers; Communications systems; Computer hacking; Cryptography; Diagnosis; Encryption; Evaluation; gray relational analysis; Health services; Image quality; Logistics; Medical diagnostic imaging; Medical image; Medical imaging; Physicians; picture archiving and communication system; structural similarity index measurement
• DOI: 10.1109/ACCESS.2021.3107608
• ISSN: 2169-3536

Medical images can be constructed in two-dimensional (2D) or three-dimensional (3D) view imaging to be applied in disease detection and diagnosis inside the body, such as cancer/tumor, heart, or lung-related diseases. These images may contain patients' privacy information and clinical diagnosis records. Hence, these images need to ensure authorization demands among hospitals, medical service organizations, or physicians in a picture archiving and communication system. This study presents an intelligent symmetric cryptography with a chaotic map and quantum-based key generator (KG) for medical image encryption and decryption. Overall scheme processes include (1) random cipher code generation, (2) training gray relational analysis (GRA)-based encryptor and decryptor, and (3) decrypted image evaluation. The hybrid chaotic map and quantum-based KG are used to increase the chaotic complexity and unpredictable levels to produce cipher codes for changing pixel values (substitution method) in a 2D image by 256 key-space cipher codes. The first and second GRA models are used to train the cipher codes to achieve an encryptor and a decryptor, respectively. Through the methodology validation using a chest X-ray database, the structural similarity index measurement is employed to evaluate the decryption quality between the plain image and decrypted image. The encrypted images show a visual uncorrelation with the plain images, and experimental results indicate higher confidences against the passive eavesdropper.