Secure MFCC Architecture for health care application
Main Article Content
Abstract
Introduction: The current field of which our day is cloud computing. It is used in several fields like medical field. Moreover, for several reasons, such as diversity and the rapid increase in the number of connected devices, Cloud Computing is unable to meet certain requirements such as support for mobility, a high level of scalability, low latency and real time. This creates many challenges for the traditional architecture of Cloud Computing. to meet its requirements, several paradigms have appeared in recent years, such as mobile edge computing, mobile cloud computing and fog computing. Based on our research, fog computing is complementary to the cloud and uses network devices to process the latency of data collected using end users. In addition, MCC (Mobile Cloud Computing) devices offer many advantages such as streaming services to Fog Nodes. Due to the open features and high scalability of these networks, security is not guaranteed, where most of the existing research focuses on protecting systems and their platforms against attacks from unauthenticated devices only on a peripheral paradigm. To answer these questions and secure the IT architecture, which combines the advantages of three emerging technologies: Cloud computing, Fog Computing and Mobile Cloud Computing.
Objectives: In this article, we provide a method called MFCC (Mobile Fog Cloud Computing) that is used to distribute and collaborate firewalls to prevent network-based attacks for healthcare application.
Methods: Different levels of collaboration, based on a model for assessing confidence in relation to risk, are introduced. In this article we have based on the access control based on the trust which is a module aims to determine if an event is suspicious. Moreover, the confidence estimation is useful for making decisions to avoid the malicious packet. In addition we have used the level cooperation method.
Results: This evaluation framework used the NeSSi² tool, where the results show that the proposed architecture is better in terms of transmission delay and blocking rate compared to related works. The most important result is that our proposal is able to prevent distributed attacks, such as DDoS.
Conclusions: This work is based on the security of an architecture combining the MCC, and the fog title MFCC dedicated for health applications. It is based on network-level distributed access control based on distributed firewalls/controllers that manage ACLs and blacklists.
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References
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