The principal contributions are as follows:
1. A multimodal database is constructed with the combination of CT, X-ray, ultrasound, and MRI images to examine encryption consistency across different images.
2. The prepared dataset is utilized to evaluate the statistical measures in encryption-decryption by the five widely used methods.
3. The communication perspective is also assessed in terms of their resistance to brute-force, differential, and known-plaintext attacks.
4. A weighted decision-oriented ranking approach is proposed to identify the most suitable method according to security, efficiency, communication suitability, and image-recovery performance.
5. A hybrid method is also proposed availing the best performances of different frameworks to check whether the method can show optimal performances in aforementioned criterion. The proposed method is a ROI-Aware ECC-Assisted Chaotic AES hybrid encryption framework. The method uses ROI-based selective encryption with ECC-based lightweight key establishment along with the logistic chaotic map (dynamic chaotic S-box) expansion technique.
