Robust Encryption to Enhance IoT Confidentiality for Healthcare Ecosystems

Andreou Andreas, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, John N. Sahalos, Evangelos Pallis, Evangelos Markakis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665417792
DOIs
Publication statusPublished - 2021
Event26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Porto, Portugal
Duration: 25 Oct 202127 Oct 2021

Publication series

NameIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
Volume2021-October
ISSN (Electronic)2378-4873

Conference

Conference26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021
Country/TerritoryPortugal
CityPorto
Period25/10/2127/10/21

Keywords

  • circulant matrices
  • confidential
  • cryptography
  • healthcare
  • internet of things

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