Minimizing forking in blockchain-based IoT networks

Furqan Jameel, Muhammad Nabeel, Muhammad Ali Jamshed, Riku Jäntti

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Blockchain is a special type of data structure in which data, usually termed as transactions, is linked together using cryptographic techniques. Because of these modular features, the applications of blockchain are being investigated in myriad domains such as cybersecurity, finance, transportation, and Internet-of-things (IoT). Although the applications of blockchain in IoT networks have much potential, many research challenges need the attention of researchers from both academia and industry. One of the open research challenges is the frequent occurrence of forking events in blockchain-based IoT networks. The forking of a blockchain can not only lead to potential security attacks but also poses excessive overhead in the largescale IoT networks. To tackle this inefficiency of blockchain-based IoT networks, this paper employs deep learning to minimize forking by reducing the transmission delays. Specifically, a deep neural network is used to reduce the transmission delay by improving the transmission rate. The deep learning approach is also compared with other benchmark techniques to show the superiority of the proposed method. We anticipate that this foundational work on blockchain-based IoT networks would pave the way for researchers to upscale the study into real-world implementations.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
ISBN (Electronic)9781728174402
Publication statusPublished - Jun 2020
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Communications Workshops - Dublin, Ireland
Duration: 7 Jun 202011 Jun 2020


ConferenceIEEE International Conference on Communications Workshops
Abbreviated titleICC Workshops


  • Blockchain
  • Deep learning
  • Forking
  • Internetof-things (IoT)

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