TY - GEN
T1 - Robust Encryption to Enhance IoT Confidentiality for Healthcare Ecosystems
AU - Andreas, Andreou
AU - Mavromoustakis, Constandinos X.
AU - Mastorakis, George
AU - Batalla, Jordi Mongay
AU - Sahalos, John N.
AU - Pallis, Evangelos
AU - Markakis, Evangelos
N1 - Funding Information:
This research work was funded by the Smart and Healthy Ageing through People Engaging in supporting Systems SHAPES project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857159. Parts of this work were also supported by the Ambient Assisted Living (AAL) project vINCI: “Clinicallyvalidated INtegrated Support for Assistive Care and Lifestyle Improvement: The Human Link” funded by Cyprus Research and Innovation Foundation in Cyprus under the AAL framework with Grant Nr. vINCI /P2P/AAL/0217/0016 and by Polish Narodowe Centrum Badań I Rozwoju with Grant AAL2/5/vINCI/2019.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Within the foreseeable future, it is evident that IoT networks in healthcare demand a better quality of service in terms of confidentiality and accessibility. Although, a good fairness quotient is not meeting the required standards yet due to the limited privacy and inaccessibility of the network. We propose a robust encryption method to overcome the traditional terrestrial secure data sharing problems and approach the expected demands. Enabling cryptography in healthcare edge computing systems is a preliminary prerequisite, especially after integrating IoT framework in these ecosystems. Therefore, it is paramount to allow an indispensable tool for secure data exchange among digital devices embedded through the network. Therefore, we elaborate a privacy mechanism based on fundamental mathematics to transfer text information securely throughout our research work. Introducing an innovative cryptography technique that uses a novel category of matrix called circulant matrices aims to operate confidential transmission of text messages. In addition, we modified and integrated an archaic alphanumeric method called Gematria, which derives from the Greek word 'geometria', to assign numerical values to Latin letters.
AB - Within the foreseeable future, it is evident that IoT networks in healthcare demand a better quality of service in terms of confidentiality and accessibility. Although, a good fairness quotient is not meeting the required standards yet due to the limited privacy and inaccessibility of the network. We propose a robust encryption method to overcome the traditional terrestrial secure data sharing problems and approach the expected demands. Enabling cryptography in healthcare edge computing systems is a preliminary prerequisite, especially after integrating IoT framework in these ecosystems. Therefore, it is paramount to allow an indispensable tool for secure data exchange among digital devices embedded through the network. Therefore, we elaborate a privacy mechanism based on fundamental mathematics to transfer text information securely throughout our research work. Introducing an innovative cryptography technique that uses a novel category of matrix called circulant matrices aims to operate confidential transmission of text messages. In addition, we modified and integrated an archaic alphanumeric method called Gematria, which derives from the Greek word 'geometria', to assign numerical values to Latin letters.
KW - circulant matrices
KW - confidential
KW - cryptography
KW - healthcare
KW - internet of things
UR - http://www.scopus.com/inward/record.url?scp=85123010082&partnerID=8YFLogxK
U2 - 10.1109/CAMAD52502.2021.9617795
DO - 10.1109/CAMAD52502.2021.9617795
M3 - Conference contribution
AN - SCOPUS:85123010082
T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
BT - 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021
Y2 - 25 October 2021 through 27 October 2021
ER -