چكيده به لاتين
Due to the expansion of network and internet technologies, the transfer of medical data in a safe and fast manner is of great importance. Today, digital medical images are an important tool in diagnosis, so confidentiality of information is very important in medical images. An efficient way to maintain confidentiality is encryption. In this research, cryptography is presented, inspired by the pseudo-random and chaotic behavior of ion valves.
The opening and closing of ion channels affects the cell membrane voltage. A valve can be fully open or fully closed, or in intermediate states (slightly open or slightly closed). Due to the large number of ion channels on the surface of the cell membrane, and the effect of various factors on their opening and closing, it is very difficult to determine the exact state of a single valve, so recordings of cell membrane currents (or Membrane voltage recordings) in practice indicate the statistical average of the number of open or closed ion valves.
According to the above, both definite models and random models have been proposed to predict the open or closed state of ion valves. In this case, it seems that the median models are the most appropriate. Chaotic systems are quasi-random from a point of view, and therefore they are considered the most justifiable models for simulating the recording of ion currents in neurons.
In this research, inspired by the chaotic behavior of opening and closing of ion valves, we produce chaotic sequences and use them to encrypt medical images.
In addition to being new and unknown to thieves, the proposed method, based on the comparison criteria used in this research, i.e. entropy 7.9969, NPCR=99.7871, and UACI=34.3961, has adequate security for encryption. The simulation results show that the proposed method is superior to the previous methods in terms of lower encryption speed.
