Said El Kafhali
ABSTRACT
In this paper, we propose a novel architecture that utilizes features of Blockchain, fog computing, and cloud computing to manage IoT data. Blockchain allows to have a distributed peer-to-peer network in which non-trusting participants can interact with each other without a trusted intermediary or third party. We evaluate how this mechanism works to face the challenges of IoT with respect to multiple accessibility to IoT devises. We consider a Blockchain architecture in presence of edge computing layer. With fog or fog computing, the sensitive data can be analyzed locally instead of sending it to the cloud for analysis. Edge nodes can also keep track and control of the IoT devices that collect, analyze and store data. We show that this control can be better executed when Software Defined Network (SDN) and Network Functions Virtualization (NFV) are integrated into our process for optimal resource management. In this paper, we present our system architecture with a detailed description of the different interactions. We remark that the integration of Blockchain, IoT, and edge computing when coupled with SDN and NFV-enabled cloud infrastructure can bring to more superior and efficient platform for accessing, managing, and processing the huge influx of IoT data.
- V. Chang and M. Ramachandran. 2016. Towards Achieving Data Security with the Cloud Computing Adoption Framework. IEEE Transactions on Services Computing 9, 1 (2016), 138--151.Google Scholar
Cross Ref
- S. El Kafhali and K. Salah. 2017. Efficient and dynamic scaling of fog nodes for IoT devices. Journal of Supercomputing 73, 12 (December 2017), 5261--5284.Google ScholarDigital Library
- S. El Kafhali and K. Salah. 2018. Modeling and Analysis of Performance and Energy Consumption in Cloud Data Centers. Arabian Journal for Science and Engineering 43, 12 (December 2018), 7789--7802.Google ScholarCross Ref
- S. El Kafhali and K. Salah. 2019. Performance Modeling and Analysis of Internet of Things enabled Healthcare Monitoring Systems. IET Networks 8, 1 (January 2019), 48--58.Google ScholarDigital Library
- S. El Kafhali, K. Salah, and S. Ben Alla. 2018. Performance Evaluation of IoT-Fag-Cloud Deployment for Healthcare servicies. In Proceedings of the 4th International Conference on Cloud Computing Technologies and Applications (Cloudtech). IEEE, Brussels, Belgium, 1--6.Google Scholar
- J. Ellul and G.J. Pace. 2018. AlkylVM: A Virtual Machine for Smart Contract Blockchain Connected Internet of Things. In Proceedings of the 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS). IEEE, Paris, France, 1--4.Google Scholar
- Ye Guo and Chen Liang. 2016. Blockchain application and outlook in the banking industry. Financial Innovation 2, 24 (December 2016), 1--12.Google ScholarCross Ref
- S. Haseeb, A. H. A. Hashim, O. O. Khalifa, and A. F. Ismail. 2017. Network Function Virtualization (NFV) based architecture to address connectivity, interoperability and manageability challenges in Internet of Things (IoT). In Proceedings of the 6th International Conference on Mechatronics - ICOM'17. IOP Publishing, Kuala Lumpur, Malaysia.Google Scholar
- S. Huckle, R. Bhattacharya, M. White, and N. Beloff. 2016. Blockchain application and outlook in the banking industry. Procedia Computer Science 98 (2016), 461--466.Google ScholarDigital Library
- Pan J., Wang J., Hester A., Alqerm I., Liu Y., and Zhao Y. 2019. EdgeChain: An Edge-IoT Framework and Prototype Based on Blockchain and Smart Contracts. IEEE Internet of Things Journal 6, 3 (June 2019), 4719 -- 4732.Google ScholarCross Ref
- F. Julien, R. Shantanu, E. B. Alejandro, and U. Ersin. 2014. Privacy Preserving Data Quality Assessment for High-Fidelity Data Sharing. In Proceedings of the Workshop on Information Sharing & Collaborative Securit. ACM, Scottsdale, Arizona, USA, 21--29.Google Scholar
- S. Kamble, G. Angappa, and A. Himanshu. 2018. Understanding the Blockchain technology adoption in supply chains-Indian context. International Journal of Production Research 57, 7 (September 2018), 2009--2033.Google Scholar
- M. A. Khan and K Salah. 2018. IoT security: Review, blockchain solutions, and open challenges. International Journal of Advanced Computer Science and Applications 82 (2018), 395--411.Google Scholar
- A. Outchakoucht, E. S. Hamza, and J. P. Leory. 2017. Dynamic access control policy based on blockchain and machine learning for the internet of things. International Journal of Advanced Computer Science and Applications 8, 7 (2017), 417--424.Google ScholarCross Ref
- J. Pan, Y. Liu, J. Wang, and A. Hester. 2018. Key Enabling Technologies for Secure and Scalable Future Fog-IoT Architecture: A Survey. arXiv preprint (2018), 1--7.Google Scholar
- A. Panarello, N. Tapas, G. Merlino, F. Longo, and A. Puliafito. 2018. Blockchain and IoT Integration: A Systematic Survey. Sensors 18, 8 (Aug 2018), 2575.Google ScholarCross Ref
- K.M. Shalini, A. Siddiqa, C. Suchitra, M. Veena, and A. Shefali. 2016. Privacy Protection and Intrusion Avoidance for Cloudlet-based Medical Data Sharing. IEEE Transactions on Cloud Computing PP, 99 (2016), 1--1.Google Scholar
- P. K. Sharma, M. Y. Chen, and J. H. Park. 2018. A Software Defined Fog Node Based Distributed Blockchain Cloud Architecture for IoT. IEEE Access 6 (September 2018), 115--124.Google Scholar
- W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu. 2016. Edge computing: Vision and challenges. IEEE Internet of Things Journal 3, 5 (October 2016), 637--646.Google ScholarCross Ref
- S. Sicari, A. Rizzardi, L. A. Grieco, and A. Coen-Porisini. 2015. Security, privacy and trust in Internet of Things: The road ahead. Computer networks 76 (2015), 146--164.Google Scholar
- Melanie Swan. 2015. Blockchain: Blueprint for a New Economy. O'Reilly Media, Sebastopol, Californie, États-Unis.Google ScholarDigital Library
- C. Tselios, I. Politis, and S. Kotsopoulos. 2017. Enhancing SDN security for IoT-related deployments through blockchain. In Proceedings of the Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, Berlin, Germany, 303--308.Google Scholar
- K. L. Wright, M. Martinez, U. Chadha, and B. Krishnamachari. 2018. SmartEdge: A Smart Contract for Edge Computing. In Proceedings of the International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, Halifax, NS, Canada, Canada, 1685--1690.Google Scholar
- N. Zhang, S. Zhong, and L. Tian. 2017. Using Blockchain to Protect Personal Privacy in the Scenario of Online Taxi-hailing. International Journal of Computers, Communications & Control 12, 6 (2017), 886--902.Google ScholarCross Ref
Recommendations
A Pattern for Fog Computing
VikingPLoP '16: Proceedings of the 10th Travelling Conference on Pattern Languages of ProgramsFog Computing is a new variety of the cloud computing paradigm that brings virtualized cloud services to the edge of the network to control the devices in the IoT. We present a pattern for fog computing which describes its architecture, including its ...
Cloud, Fog, or Mist in IoT? That Is the Question
Special Issue on Fog, Edge, and Cloud IntegrationInternet of Things (IoT) has been commercially explored as Platforms as a Services (PaaS). The standard solution for this kind of service is to combine the Cloud computing infrastructure with IoT software, services, and protocols also known as CoT (...
Fog Computing to Serve the Internet of Things Applications: A Patient Monitoring System
Due to centralized nature for cloud computing and some other reasons, high mobility cannot be supported and low latency requirements for some applications such as Internet of Things (IoT) that require real time and mobility support. To satisfy such ...
Comments