Blockchain-based online education content ranking

Garg, Aman; Sharmila, A.; Kumar, P. Sasi; Madhukar, Mani; Loyola‐González, Octavio; Kumar, Manoj

doi:10.1007/s10639-021-10797-5

Cited by 25 publications

(19 citation statements)

References 33 publications

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“…Blockchain-based online education content ranking [32] This paper presented a blockchain-enabled online content ranking system, which is distributed in nature and provides a trustworthy environment to preserve the educational ledger and ensure the integrity of the rating independently.…”

Section: Research Description System Matrix Comparison With Our Propo...mentioning

confidence: 99%

Blockchain Hyperledger with Non-Linear Machine Learning: A Novel and Secure Educational Accreditation Registration and Distributed Ledger Preservation Architecture

et al. 2022

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This paper proposes a novel and secure blockchain hyperledger sawtooth-enabled consortium analytical model for smart educational accreditation credential evaluation. Indeed, candidate academic credentials are generated, verified, and validated by the universities and transmitted to the Higher Education Department (HED). The objective is to enable the procedure of credential verification and analyze tamper-proof forged records before validation. For this reason, we designed and created an accreditation analytical model to investigate individual collected credentials from universities and examine candidates’ records of credibility using machine learning techniques and maintain all these aspects of analysis and addresses in the distributed storage with a secure hash-encryption (SHA-256) blockchain consortium network, which runs on a peer-to-peer (P2P) structure. In this proposed analytical model, we deployed a blockchain distributed mechanism to investigate the examiner and analyst processes of accreditation credential protection and storage criteria, which are referred to as chaincodes or smart contracts. These chaincodes automate the distributed credential schedule, generation, verification, validation, and monitoring of the overall model nodes’ transactions. The chaincodes include candidate registration with the associated university (candidateReg()), certificate-related accreditation credentials update (CIssuanceTrans()), and every node’s transactions preservation in the immutable storage (ULedgerAV()) for further investigations. This model simulates the educational benchmark dataset. The result shows the merit of our model. Through extensive simulations, the blockchain-enabled analytical model provides robust performance in terms of credential management and accreditation credibility problems.

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Section: Research Description System Matrix Comparison With Our Propo...mentioning

confidence: 99%

Blockchain Hyperledger with Non-Linear Machine Learning: A Novel and Secure Educational Accreditation Registration and Distributed Ledger Preservation Architecture

et al. 2022

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“…As an emerging technology, blockchain applications are being explored in various industries, including healthcare [14][15][16][17], finance [18,19], real estate [20,21], agriculture [22,23], and education [24,25]. Blockchain implementation is ideal for communication networks, thanks to new improvements in blockchain technology such as decentralization, immutability, security, and transparency.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Authenticated Wireless Links between a Drone and Sensors Using a Blockchain: Case of Smart Farming

Alqarni

Almalki

Soufiene

et al. 2022

Wireless Communications and Mobile Computing

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Agriculture is confronted with several significant difficulties, such as rising air temperatures and population growth, causing the implementation of smart farming operations as an optimum solution. This research aims to contribute to the growing knowledge of the potential role of blockchain technology in promoting the concept of smart farming by enhancing the efficiency of farming operations by boosting agricultural production, lowering environmental impact, and automating the work of farmers. It proposes a secure blockchain-based framework to establish trust among smart farming users. The framework utilizes asymmetric key exchange mechanism using an ECC authentication algorithm and SHA-256 hash function cryptography to secure communication between sensors and drones in the farm field. The SHA-256 hashing function ensures data integrity as attempts to tamper with data result in a different hash value, breaking the chain of blocks. To demonstrate the feasibility of the proposed framework, a proof-of-concept implementation was developed on the Ethereum blockchain, in which smart contracts were used to model the framework operations. The proof of concept’s performance was examined using Hyperledger Caliper for latency, throughput, and transaction success rate. The findings clearly indicate that blockchain technology can provide an efficient and scalable mechanism to advance smart farming and address some of the barriers that inhibit smart farming, particularly regarding to data integrity and availability.

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“…The application of blockchain has extended to various fields such as banking (Guo and Liang, 2016; Hassani et al 2018, Garg et al , 2021), health care (Dimitrov, 2019; Przhedetskiy et al , 2019; Tandon et al , 2020), supply chain operations, energy generation, education and so on (Pankaj et al , 2020). On the other hand, blockchain technology resulted in digitalization and decentralization, which created a lifelong learning approach (Loukil et al , 2021).…”

Section: Introductionmentioning

confidence: 99%

Applications of blockchain in government education sector: a comprehensive review and future research potentials

Dash

Panda

Luthra³

2022

JGOSS

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Purpose With the time and increase in usage of information technology (IT), blockchain technology is gaining immense attention from researchers, academicians, and practitioners because of its distinctive features such as transference, security and data reliability. The purpose of this study is to endow with a systematic review of literature on blockchain in context to the government education sector in terms of its usage, benefits, obstacles and practical implementation in future areas in education. Design/methodology/approach The study adopted a bibliometric visualization tool to classify data in yearly publications, highly cited journals, prominent authors, leading publications in countries and institutions and highly cited papers – the data was extracted from the SCOPUS database by using relevant keywords. Thus, the following research questions were developed: How has blockchain technology been used in the government educational sector? What are the benefits examined in the field of education? What were the problems/obstacles faced using the technology in a government education structure? Findings The findings identify and provide a comprehensive review of the technique regarding the present research stream in terms of highest publication, author, journal, subject-wise and relevance of the technology in government education structure. Thus, the future research potential of the technology in the education sector is much more as it is in the initiation stage. A lot of opportunities and benefits need to be extracted at large. Research limitations/implications The present findings of the study provide a base work for government education institutions, policy developers and researchers to investigate other areas where the technology can be implemented. Finally, more technology applications will develop strategies for proper data management and cost-effective decisions. Originality/value This study explains the relevance of technology in education through bibliometric visualization. The study adopted the review and significance of blockchain technology in the government education sector by identifying its benefits, current scenario, application and future research potential areas.

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Blockchain-based online education content ranking

Cited by 25 publications

References 33 publications

Blockchain Hyperledger with Non-Linear Machine Learning: A Novel and Secure Educational Accreditation Registration and Distributed Ledger Preservation Architecture

Blockchain Hyperledger with Non-Linear Machine Learning: A Novel and Secure Educational Accreditation Registration and Distributed Ledger Preservation Architecture

Authenticated Wireless Links between a Drone and Sensors Using a Blockchain: Case of Smart Farming

Applications of blockchain in government education sector: a comprehensive review and future research potentials

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