Nowadays, the Internet of Things (IoT) occupies an effective and essential place, considerable progress has been made in the healthcare sector. This is valid in view of the spacious developments of the IoT environment, towards guaranteeing the reliability of reciprocal medical images. Due to the critical content in medical images, huge attention must be given to safeguarding again frequent cyber-attacks. Such attacks may change image content thereby, impacting a patient's diagnosis. In this respect, this paper elaborates on a robust medical watermarking based on digital watermarking to embed a physician's signature in a medical image within a hidden state. Statistical arguments methods employed to get the best effectiveness metric result and to avoid losing clinical information that appears in the medical image. The suggested watermarking algorithm is composed of Daubechies-3 and Daubechies-9 wavelet transform, utilizing three different medical images as a host image.
|Title of host publication
|2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019 - Proceedings
|Institute of Electrical and Electronics Engineers Inc.
|Published - 1 Sept 2019
|24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019 - Limassol, Cyprus
Duration: 11 Sept 2019 → 13 Sept 2019
|IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
|24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019
|11/09/19 → 13/09/19
- Daubechies wavelets
- Discrete wavelet transform
- Information security
- Internet of Things
- Medical image watermarking