A Decentralized Blockchain-based Architecture for a Secure Cloud-Enabled IoT

Authors

  • Mbarek Marwan LTI Laboratory, ENSA, Chouaïb Doukkali University, Morocco https://orcid.org/0000-0002-5997-4120
  • Abdelkarim Ait Temghart TIAD Laboratory, FST, Sultan Moulay Slimane University, Beni Mellal, Morocco
  • Fatima Sifou LRIT Laboratory, Faculty of Science, Rabat, Morocco
  • Feda AlShahwan College of Technological Studies, Shuwaikh, Kuwait

DOI:

https://doi.org/10.13052/jmm1550-4646.1636

Keywords:

Cloud-enabled IoT, OM-AM model, XACML, ABAC, blockchain, access control

Abstract

The integration of cloud computing and Internet of Things (IoT) offers a promising, rich platform for data collection and analysis in smart healthcare. In such a model, IoT devices collect data about patient health status through multiple intelligent sensors, whereas cloud offers scalable resources to quickly meet workload demands. Despite these remarkable improvements, the current architectures do not sufficiently address the security needs for patient medical records. In this perspective, and bearing in mind the specific characteristics of each technology, we propose a distributed security mechanism in a way that fits with IoT and cloud constraints. Our contribution to secure cloud-enabled IoT is twofold. First, we rely on OM-AM (Objective, Model, Architecture and Mechanism) for modeling and analysing the security and privacy requirements of smart healthcare. Second, we use blockchain architecture along with Attribute-Based Access Control (ABAC) model as a decentralized flexible system to support access control decisions. In particular, we rely on XACML (eXtensible Access Control Markup Language) to easily build and implement robust policies required for maintaining a secure IoT-based environment. The novelty of the proposed framework lies at smartly leveraging the recent technologies to keep health information confidential. In fact, putting blockchain and IoT together would undoubtedly create a totally new solution for remote patient monitoring. The simulation results show that the proposal is an efficient way of implementing ubiquitous and cognitive tools for smart healthcare systems.

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Author Biographies

Mbarek Marwan, LTI Laboratory, ENSA, Chouaïb Doukkali University, Morocco

Mbarek Marwan received an Engineer degree from ENIM, Morocco. He obtained his Ph.D. in Mathematics and Computer Science from ENSA, Chouaïb Doukkali University, Morocco. His area of research covers the latest advances in Cloud Computing, Big Data and IoT.

Abdelkarim Ait Temghart, TIAD Laboratory, FST, Sultan Moulay Slimane University, Beni Mellal, Morocco

Abdelkarim Ait Temghart had obtained his Master degree in Business Intelligence from FST-Beni Mellal. He is currently pursuing his doctoral studies in Game Theory, Cloud Computing and IoT at University of Sultan Moulay Slimane, Morocco.

Fatima Sifou, LRIT Laboratory, Faculty of Science, Rabat, Morocco

Fatima Sifou earned a Master degree in Software Development from the Faculty of Sciences. He obtained his Ph.D. in Computer Science from University of Mohammed V, Rabat, Morocco. Her research focused mainly on the security and privacy in IoT and Cloud Computing.

Feda AlShahwan, College of Technological Studies, Shuwaikh, Kuwait

Feda AlShahwan received Ph.D. from University of Surrey, UK. She is currently an Assistant Professor at Public Authority for Applied Education and Training, Kuwait. Her current research interests lie in the use of the emerging technologies like Mobile Web Services, IoT, Cloud Computing, etc.

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Published

2020-11-28

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