A Medical Image Encryption Algorithm Based on Hermite Chaotic Neural Network

Baoru Han, Yuanyuan Jia, Guo Huang, Lisha Cai

20202020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)25 citationsDOI

Abstract

To ensure the safety and reliability of medical image during information transmission, a medical image encryption algorithm based on Hermite chaotic neural network is proposed. Firstly, the medical image encryption algorithm uses chaotic sequences generated by the logistic map. Secondly, this chaotic sequence is used to train a Hermite chaotic neural network. Finally, the medical image is encrypted by two key streams generated by the trained Hermite chaotic neural network. Experimental results show that the encryption algorithm is very effective. The security analysis shows that the encryption algorithm can effectively resist statistical analysis, has strong key sensitivity, large keyspace, and greatly improves the security of medical images.

Topics & Concepts

EncryptionChaoticComputer scienceHermite polynomialsAlgorithmLogistic mapArtificial neural networkKey (lock)Image (mathematics)Sensitivity (control systems)Reliability (semiconductor)Transmission (telecommunications)Data miningTheoretical computer scienceArtificial intelligenceComputer networkMathematicsComputer securityEngineeringTelecommunicationsPower (physics)Mathematical analysisPhysicsQuantum mechanicsElectronic engineeringChaos-based Image/Signal EncryptionAdvanced Steganography and Watermarking TechniquesDigital Media Forensic Detection