Enhancing medical cloud security: a multi-level approach with twofish encryption and fingerprint authentication
摘要
Cloud computing technology has been in wide use in the healthcare sector for storing, processing, and managing patient records. Therefore, it requires high security and resource allocation efficiently. In this paper, we present an approach to integrative optimization emphasizing QoS and multiple levels of security in a medical cloud environment. It proposes a medical cloud model that uses a hybrid cloud architecture with the TwoFish algorithm for data encryption, including a ring model. Additionally, the model introduces fingerprint authentication as an extra layer of protection. Further to enhance security, the research model utilizes a fingerprint virtual machine for generating untraceable security keys and enhances security. The model will be validated for effectiveness by performing experiments juxtaposed with the outcome of conventional DES and AES schemes, besides addressing its remarkable improvement in data security and transmission dynamics.