Enhancing Healthcare Image Record Security via CNN-based Tamper Detection, Watermarking, and Digital Signatures

Computers have been seamlessly integrated into every domain including health care where one of its applications is in the storage of health care records such as medical images. Electronic healtheare records contain a lot of sensitive information about patients, such as the diseases, diagnosis, treatment plans, drugs administered or medicines prescribed and hence this vital information must not be disclosed at any cost as it can have huge repercussions. As each day passes, more vulnerabilities and threats surface and it is important to come up with secure systems and apt security measures to counter these threats and keep the attackers at bay. This study provides a holistic approach to secure and safeguard medical image records by addressing two problems, the first is image tamper detection using medical image deepfake detection to decipher whether the image has been modified or not, and the second is to employ various cryptographic techniques such as hashing, watermarking and digital signatures to protect the images from getting tampered itself.