Embedded dynamic modification for efficient watermarking using different medical inputs in iot

Tamara K. Al-Shayea, Jordi Mongay Batalla, Constandinos X. Mavromoustakis, George Mastorakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728110165
DOIs
Publication statusPublished - 1 Sep 2019
Event24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019 - Limassol, Cyprus
Duration: 11 Sep 201913 Sep 2019

Publication series

NameIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
Volume2019-September
ISSN (Electronic)2378-4873

Conference

Conference24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019
CountryCyprus
CityLimassol
Period11/09/1913/09/19

Keywords

  • Daubechies wavelets
  • Discrete wavelet transform
  • Information security
  • Internet of Things
  • Medical image watermarking

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  • Cite this

    Al-Shayea, T. K., Batalla, J. M., Mavromoustakis, C. X., & Mastorakis, G. (2019). Embedded dynamic modification for efficient watermarking using different medical inputs in iot. In 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019 - Proceedings [8858489] (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD; Vol. 2019-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMAD.2019.8858489