TY - GEN
T1 - Embedded dynamic modification for efficient watermarking using different medical inputs in iot
AU - Al-Shayea, Tamara K.
AU - Batalla, Jordi Mongay
AU - Mavromoustakis, Constandinos X.
AU - Mastorakis, George
PY - 2019/9/1
Y1 - 2019/9/1
N2 - 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.
AB - 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.
KW - Daubechies wavelets
KW - Discrete wavelet transform
KW - Information security
KW - Internet of Things
KW - Medical image watermarking
UR - http://www.scopus.com/inward/record.url?scp=85073786604&partnerID=8YFLogxK
U2 - 10.1109/CAMAD.2019.8858489
DO - 10.1109/CAMAD.2019.8858489
M3 - Conference contribution
AN - SCOPUS:85073786604
T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
BT - 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019
Y2 - 11 September 2019 through 13 September 2019
ER -