An Efficient Hash-Selection-Based Blockchain …

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• Securing various cloud-based interactions for IIoT networks during data transfer

and storage of data in clouds.

• Creating tamper-proof data transfer systems for low powered devices.

• Securing intra-network communications from cryptanalytic attacks.

• Developing proper decentralized, distributed systems for data management in

IIoT ecosystems.

• Specific attack prevention mechanisms for devices of different architectures.

• StandardizationofsecurityprotocolsandpoliciesforIoTecosystemsforindustrial

purposes.

Loopholes in blockchain-based IIoT:

• Lack of proper software support for blockchain-based systems in IIoT.

• High bandwidth needs for maintenance of blockchain-based IIoT ecosystems.

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Conclusion

Blockchain-enabled IIoT networks are evolving at a very high pace. It is becoming

a new standard in worldwide progress. The combination of blockchain and IIoT will

bring huge technological leaps that will be able to bring remarkable enhancements to

various facets of human life to make our society smarter and easier. In this chapter, the

proposed model efficiently utilizes the computational power of the devices in the IIoT

network to create a blockchain using the most suitably fitting hash algorithm. A new

benchmarkingalgorithmisdesignedtobeapplicableonwide-rangingdevicesinstead

of computationally similar devices. This benchmarking algorithm helps to cluster the

numerous devices in the IIoT network into different tiers. On the basis of the tier of

a device, a computationally suitable hash algorithm is applied. Securing industrial

IoT using efficient blockchain design enhances and expands IIoT applications. The

above experimental result shows that the proposed model is efficient enough with

respect to computational power, security enhancement, and energy utilization of the

device in the IIoT network. To promote and expand the functions of IoT and IIoT

platforms, various research and development projects are continuously conducted.

Despite numerous efforts, in this developing field, there still exist some challenges

and issues that are holding back the success of IoT in industrial environments. Since

this field is still growing, it can be improved by proper directed developments. Hence,

to guide future research in this domain some of the potential research challenges and

open issues are discussed at the end of this paper.