Improving security using Swarm intelligence based optimal pixel selection in Image steganography-A Study

Electronics are leading the way in all areas of our lives and e-health care is a blessing not only in quality, but also in the safety and transfer of data. Safe transfer of medical data to unsafe networks these days is an important problem. With the tremendous growth of multimedia and digital technology and connected networks, today health care becomes a big step forwarded. Patient data leaks are one of the most common problems in the health care environment, which leads to misuse of patient data. With the practice of steganography method hiding the existence of hidden data within other types of media, for example, some media like text, image, audio, and video without triggering unintentional awareness. It is one of the techniques used to protect confidential or sensitive data against malicious attacks. For the diagnosis and management of a number of diseases, digital photography is required and, therefore, it is veryimportant to guarantee the careful recording of data, retrieving, and process of reviewing the medical information without violating ethics of health information practitioners. Image steganography is used to secure the transmission of health care data to conceal a confidential image (MRI or CT scan reports) on a local domain, increasing the embedded capabilities. In the field of health care, patient data such as CT scan and MRI reports are considered the most confidential data and leak reports are one of the most common problems. The proposed method also uses particle swarm performance to perform the embedding process. Therefore, Particle Swarm Optimization (PSO) algorithm does not require a large number of control parameters, but it can still be easily executed with a balanced computer, as it is used for collecting particles. PSO works mostly with randomized particles and seeks to identify the perfect replication solution.