Tamper Detection Of Medical Images Using Modified Hashing Algorithm

In the present modern scenario, health remains as the top most priority of every human being. The identification of the problem and its diagnosis is complicated and remains as the most important part of it. Recently, many of our health related activities use data in the digital format. Digital data is easy and remains in a more comfortable form for transferring the data over long distances. Exchange of Medical Images must be done in a protective and secured manner due to security threats and the attacks of the unidentified intruders. If the privacy is questionable in medical data sharing, then the life of an individual concerned will remain under risk. This has led to the demand for integrity and authentication of medical images. In this paper, an algorithm based on the Secure Hashing Algorithm is proposed to maintain the medical image's integrity. The Region of Interest (RoI) is separated using spatial co-ordinates and the hash value of the RoI is generated and embedded into the Region of Non-Interest (RoNI) before transmission.