A novel medical image data protection scheme for smarthealthcare system

The Internet of Multimedia Things (IoMT) refers to a network of interconnectedmultimedia devices that communicate with each other over the Internet. Recently, smarthealthcare has emerged as a significant application of the IoMT, particularly in the contextof knowledge‐based learning systems. Smart healthcare systems leverage knowledge‐based learning to become more context‐aware, adaptable, and auditable while maintain-ing the ability to learn from historical data. In smart healthcare systems, devices captureimages, such as X‐rays, Magnetic Resonance Imaging. The security and integrity of theseimages are crucial for the databases used in knowledge‐based learning systems to fosterstructured decision‐making and enhance the learning abilities of AI. Moreover, inknowledge‐driven systems, the storage and transmission of HD medical images exert aburden on the limited bandwidth of the communication channel, leading to data trans-mission delays. To address the security and latency concerns, this paper presents alightweight medical image encryption scheme utilising bit‐plane decomposition and chaostheory. The results of the experiment yield entropy, energy, and correlation values of7.999, 0.0156, and 0.0001, respectively. This validates the effectiveness of the encryptionsystem proposed in this paper, which offers high‐quality encryption, a large key space, keysensitivity, and resistance to statistical attacks