Adoption of blockchain technology in various realms: Opportunities and challenges

Akram, Shaik Vaseem; Malik, Praveen Kumar; Singh, Rajesh; Gehlot, Anita; Tanwar, Sudeep

doi:10.1002/spy2.109

Cited by 122 publications

(35 citation statements)

References 97 publications

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“…Based on the literature review, we can state that the evaluation of blockchain systems highly varies depending on the type, i.e., private, public, or consortium [ 93 ]. Generally, public blockchains are analyzed by targeting some specific research goals, while private and consortium blockchains are driven by business needs (reducing CAPEX/OPEX, system planning, peak performance evaluation, etc.).…”

Section: Current Challenges and Future Prospectsmentioning

confidence: 99%

Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective

Smetanin

Ometov

Komarov

et al. 2020

Sensors

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The present increase of attention toward blockchain-based systems is currently reaching a tipping point with the corporate focus shifting from exploring the technology potential to creating Distributed Ledger Technology (DLT)-based systems. In light of a significant number of already existing blockchain applications driven by the Internet of Things (IoT) evolution, the developers are still facing a lack of tools and instruments for appropriate and efficient performance evaluation and behavior observation of different blockchain architectures. This paper aims at providing a systematic review of current blockchain evaluation approaches and at identifying the corresponding utilization challenges and limitations. First, we outline the main metrics related to the blockchain evaluation. Second, we propose the blockchain modeling and analysis classification based on the critical literature review. Third, we extend the review with publicly accessible industrial tools. Next, we analyze the selected results for each of the proposed classes and outline the corresponding limitations. Finally, we identify current challenges of the blockchain analysis from the system evaluation perspective, as well as provide future perspectives.

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Section: Current Challenges and Future Prospectsmentioning

confidence: 99%

Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective

Smetanin

Ometov

Komarov

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Further works are highly needed to increase the scalability of Blockchain. Security: Although the secure nature of blockchain, the public blockchain ledger is still prone to cyber-attacks as that of a 51% attack [82]. This fact is treating for AI's collected data from the network as it affects AI performance and leads to false learning which can severely damage 5G networks and its components.…”

Section: Scalabilitymentioning

confidence: 99%

Block5GIntell: Blockchain for AI-Enabled 5G Networks

et al. 2020

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Nowadays, 5G network is considered to be one of the main pillars of various industries, including the Internet of Things (IoT), smart cities, virtual reality, and many more. Unlike previous network generations, 5G utilizes complex digital technologies such as massive Multiple Input Multiple Output (mMIMO) and runs over higher radio frequencies. The introduction of new technologies and advanced features in the 5G network raises new challenges for network operators, and merging Artificial Intelligence (AI) is one of the effective solutions to address these complexities. However, AI-enabled 5G network engenders security concerns and requires improvement to meet the standardization and qualification of the new network generation. To mitigate these dilemmas, Blockchain must be integrated. Blockchain, as a decentralized methodology provides a secure sharing of information and resources among various nodes of 5G environments. Blockchain can support other technologies, such as AI-based 5G, to create smarter, more efficient, and secure cellular networks. In this paper, we present a comprehensive intelligence and secure data analytics framework for 5G networks based on the convergence of Blockchain and AI named "Block5GIntell". We depict the applications of Blockchain and AI on 5G networks separately and we argue on the support that Blockchain can provide for AI to create smart and secure 5G networks relying on our proposed framework. To support our proposition, we present an energy-saving case study using Blockchain for AI-enabled 5G. The simulation shows an overall 20% decrease in energy consumption at the RAN level.

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“…In [21], the authors presented a systematic review of existing blockchain-based solutions. Anabtawi et al [16] presented the significance of how a complete knowledgebased system can facilitate customers in making the right decision regarding the vehicles by maintaining customer profiles, vehicle configurations, payment options, vehicle location and reservation, and confirmation of the vehicle transactions.…”

Section: Related Workmentioning

confidence: 99%

A Novel Blockchain-Based Framework for Vehicle Life Cycle Tracking: An End-to-End Solution

et al. 2020

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Transactions related to vehicles include manufacturing, buying, selling, paying insurance(takaful), obtaining regular inspection, leasing a vehicle from banks, getting in an accident, engaging in a traffic violation, calculating price predictions and renting a vehicle. Many people perform transactions related to vehicles in their daily life; transportation authorities also perform vehicle transactions as part of managing vehicle fleets. But tracking these transactions is a challenging task. There are countrywide solutions that uses centralized systems. However, these solutions have problems with trust management, transparency, and access control. Therefore, we believe there is still room for integrated automation of various vehicle-related transactions. In this paper, we present a blockchainbased framework for vehicle tracking that incorporates the mentioned features. Moreover, blockchain is customized to enable usage control for additional transactions, such as inspection, renting and islamic insurance. The usage control model is integrated with IoT devices to continuously monitor the vehicles for certain conditions and remotely revoke access if needed [1]. The complete transaction set is recorded over an immutable ledger that provides trust, transparency and a complete history of record. In this paper, we also presents a prototype implementation of a permissioned blockchain, which will be made available under the GNUv3 General Public License. Performance analysis is performed on the newly proposed framework implementation over the permissioned blockchain to measure its adoption and suitability. INDEX TERMS Blockchain, decentralized applications, smart contracts, vehicle life cycle tracking VOLUME 4, 2016 This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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Adoption of blockchain technology in various realms: Opportunities and challenges

Cited by 122 publications

References 97 publications

Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective

Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective

Block5GIntell: Blockchain for AI-Enabled 5G Networks

A Novel Blockchain-Based Framework for Vehicle Life Cycle Tracking: An End-to-End Solution

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