Enhancing Data Security for Cloud Computing Applications through Distributed Blockchain-based SDN Architecture in IoT Networks

TL;DR

This paper proposes a novel integrated architecture combining blockchain and SDN to enhance security, privacy, and reliability in cloud computing environments, supported by experimental evaluation and attack monitoring.

Contribution

It introduces a distributed blockchain-based SDN architecture specifically designed to improve security and scalability in cloud applications.

Findings

Enhanced security and privacy demonstrated through attack monitoring

Improved load balancing and reliability in cloud infrastructure

Effective performance of the integrated architecture under various parameters

Abstract

Blockchain (BC) and Software Defined Networking (SDN) are some of the most prominent emerging technologies in recent research. These technologies provide security, integrity, as well as confidentiality in their respective applications. Cloud computing has also been a popular comprehensive technology for several years. Confidential information is often shared with the cloud infrastructure to give customers access to remote resources, such as computation and storage operations. However, cloud computing also presents substantial security threats, issues, and challenges. Therefore, to overcome these difficulties, we propose integrating Blockchain and SDN in the cloud computing platform. In this research, we introduce the architecture to better secure clouds. Moreover, we leverage a distributed Blockchain approach to convey security, confidentiality, privacy, integrity, adaptability, and scalability in the proposed architecture. BC provides a distributed or decentralized and efficient environment for users. Also, we present an SDN approach to improving the reliability, stability, and load balancing capabilities of the cloud infrastructure. Finally, we provide an experimental evaluation of the performance of our SDN and BC-based implementation using different parameters, also monitoring some attacks in the system and proving its efficacy.