Blockchain And Software Defined Networking – Sarvesh Tanwar

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Record verification and consensus protocols of blockchain may lead to latency. It will affect real-time performance and network surveillance in SDN that needs low-latency intercommunication. 5.1.3 Paper organization This chapter consists of various sections. Section 5.1 covered an overview of Blockchain and SDN. In Section 5.2, literature work performed by numerous authors has been discussed and presented in a tabular structure. Section 5.3 involves the vulnerabilities in SDN infrastructure that impact performance and efficiency.

Capabilities of blockchain for tackling existing shortcomings of SDN are mentioned in Section 5.4. Then practical deployment for creating and validating blocks is displayed in the next section. Section 5.6 deals with roadblocks in widespread adoption of SDN and blockchain. At the end, we concluded the work by discussing the future scope of these groundbreaking technologies. In this section, the background work undertaken by various authors in the domain of blockchain and SDN are discussed.

Table 5.1 represents potential characteristics. Table 5.1 Blockchain and SDN solutions ⏎ BlockSD‐ 5GNet [1] Boosting the security of 5G networks by integrating blockchain with ML bandwidth and Software- Reduced cyber threats through encryption techniques of blockchain. Reliable bandwidth prediction Interoperability issue due to already established network architecture. Centralised nature of SDN can cause single point of failure.

S.No. Proposed solution Description Advantages Challenges Defined Networking with ML techniques. Deliver optimal performance with minimal resources. BlockCare [5] SDN with blockchain for monitoring Internet of Things elements High scalability due to dynamic scaling of network by Decentralised control increased robustness of medical system by reducing issue of single point of failure. Resource- intensive and expensive as it consumes high computing power. Mismanagement of high data traffic leads to network congestion in AutAvailChain [6] Blockchain technology for automatic and tamper- proof data availability Security is ensured with authorised access permissions and reducing manual operations through automation.

With increasing data volumes, scalability issue will occur. Consensus mechanism might cause network latency. Real time data availability will be impacted. S.No. Proposed solution Description Advantages Challenges Increased the robustness of data retrieval. Blockchain- SDN based Genetic Algorithm- Powered QoS- Aware Cross Network Traffic Engineering Network performance is optimised with dynamic network traffic monitoring. Transparency in traffic monitoring through blockchain. Genetic algorithm deployed for streamlining traffic engineering.

Genetic algorithm utilises high computational overhead. Possible latency issues with blockchain consensus protocols delays the network traffic. DistB- SDCloud [8] A secure infrastructure for cloud computing Industrial Internet of Things (IIoT) with SDN and blockchain Elevate efficiency and accountability in IIoT with network flexibility through SDN. Mitigates chances of data breaches and data security with decentralised ledger. Complexity while integrating cloud computing with IIoT. Professional expertise to handle such issues. S.No. Proposed solution Description Advantages Challenges Dipanjali Kundu et al. [1] proposed an architecture “BlockSD‐5GNet” to effectively optimise the reliability and security of 5G networks.

Authors have explored the possibilities that might arise after intersecting blockchain, ML network function virtualization and SDN.

This book covers the security challenges of software-defined networks and proposes innovative solutions, such as the decentralization of security services and integration with blockchain technology, to enhance software- defined network security. It includes multiple case studies demonstrating the effectiveness of decentralized software-defined network security with three-layered architectures including all application programming interfaces. This book: Offers in-depth analysis of software-defined network protocols including OpenFlow, Border Gateway Protocol-Link State, and Network Configuration Protocol (NETCONF).

Provides practical guidelines for implementing security measures within software-defined network environments, with a focus on technical aspects like firewall rules, intrusion detection, and access control policies. Explores how blockchain can be integrated into software-defined networks to enhance security, providing step-by-step technical guidance for implementation. Discusses supply chain transparency with integration of blockchain and software-defined networks. Explains blockchain-enhanced network monitoring and control, and implementation of blockchain-secured network communication.

It is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, computer science and engineering, and information technology. 1kitap1.com/en Intelligent Data-Driven Systems and Artificial Intelligence Series Editor: Harish Garg Cognitive Machine Intelligence Applications, Challenges, and Related Technologies Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belqziz, Tarandeep Kaur Bhatia Artificial Intelligence and Internet of Things Based Augmented Trends for Data Driven Systems Anshu Singla, Sarvesh Tanwar, Pao-Ann Hsiung Modelling of Virtual Worlds Using the Internet of Things Edited by Simar Preet Singh and Arun Solanki Data-Driven Technologies and Artificial Intelligence in Supply Chain Tools and Techniques Mahesh Chand, Vineet Jain, Puneeta Ajmera Data-Driven Decision Making and Soft Computing Applications and Advances D.

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Book Information

  • Unique ID: 8ac30d59b683f83d
  • File Extension: .pdf
  • File Size: 5,820,018 bytes (5.55 MB)
  • Title:
  • Author: Unknown
  • ISBN: 9781032824369, 9781032824383, 9781003504559
  • Pages: 235
  • Language: English (en)

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