Abstract
Fog computing is a concept that extends the paradigm of cloud computing to the network edge. The goal of fog computing is to situate resources in the vicinity of end users. As with cloud computing, fog computing provides storage services. The data owners can store their confidential data in many fog nodes, which could cause more challenges for data sharing security. In this paper, we present a novel architecture for data sharing in a fog environment. We explore the benefits of fog computing in addressing one-to-many data sharing applications. This architecture sought to outperform the cloud-based architecture and to ensure further enhancements to system performance, especially from the perspective of security. We will address the security challenges of data sharing, such as fine-grained access control, data confidentiality, collusion resistance, scalability, and the issue of user revocation. Keeping these issues in mind, we will secure data sharing in fog computing by combining attributebased encryption and proxy re-encryption techniques. Findings of this study indicate that our system has the response and processing time faster than classical cloud systems. Further, experimental results show that our system has an efficient user revocation mechanism, and that it provides high scalability and sharing of data in real time with low latency.
Highlights
Cloud computing is the most popular computing paradigm that offers its resources over the Internet
We present a novel architecture for data sharing in a fog environment
Findings of this study indicate that our system has the response and processing time faster than classical cloud systems
Summary
Cloud computing is the most popular computing paradigm that offers its resources over the Internet. Cloud computing provides many advantages to end users, such as lower cost, high reliability, and greater flexibility. It has some drawbacks, which include a high latency, necessitating Internet connecti-. Those applications require low latency, mobility support, geo-distribution, and user location awareness. Cloud computing appears to be a satisfying solution to offer services to end users, but it cannot meet the IoTs’ requirements. A promising platform called fog computing is needed to provide the IoTs’ requirements; fog computing was proposed by Cisco in 2012 [2]
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