Abstract
Private patient data is extensively present in medical photographs. Patients and medical institutions would suffer catastrophic losses as a result of medical image theft and destruction. Because medical photos include sensitive patient data, security is the primary problem during the transmission of those images. When digitized photographs and the patient data they contain are transferred over public networks, image compression security is an important technique for protecting sensitive data. A variety of data encryption based on various techniques was examined by researchers due to the quick advancements in the fields of clinical picture encryption. In this research, we used an optimization strategy to create a novel cryptographic model. Particle swarm optimization (PSO) and the cuckoo search (CS) optimization approach are used to accomplish medical image cryptography. This article used a novel cryptographic framework with optimization techniques to explore the safety of medical pictures. The optimum key for enhancing the security of the encryption and decryption process will be chosen using optimization techniques developed for particle swarms and cuckoo search (CS) in cryptography with elliptic curves. The effectiveness of the proposed method is measured using the Peak Signal-to-Noise Ratio (PSNR) and the entropy.
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Adhikari, S., Brayyich, M., Akila, D., Sakar, B., Devika, S., Revathi, S. (2023). Hybrid Optimization Using CC and PSO in Cryptography Encryption for Medical Images. In: Peng, SL., Jhanjhi, N.Z., Pal, S., Amsaad, F. (eds) Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science. ICMMCS 2023. Advances in Intelligent Systems and Computing, vol 1450. Springer, Singapore. https://doi.org/10.1007/978-981-99-3611-3_7
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