A Traceable Online Will System Based on Blockchain and Smart Contract Technology

As one of the disruptive technologies in the fourth industrial revolution, Blockchain has irrevocably changed how people live and work. Many scholars have studied the Blockchain, and the number of related publications has increased over time. Bibliometrics is an excellent method to study the development trend of a specific field. However, few scholars have used bibliometrics to research Blockchain; the inheritance and evolution among its different research themes have not yet been fully understood. This study emphasizes the scientific evolution and research focus of Blockchain through bibliometric analysis. We analyzed 2993 publications from 2014 to 2020 using co-word analysis and cluster analysis with bibliometric tools such as the SciMAT. The most productive author, country, institutions and leading research areas were identified, outlining the Blockchain field's fundamental developments. The results show the changes in keywords regarding Blockchain summarize the research hotspots in different periods. The study discusses the evolution process of various themes in each period, providing a meaningful reference for scholars to identify research hotspots and future research directions in the Blockchain field.

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“…•Design a system based on Blockchain and smart contract [164] •The problem with smart contracts [165] a)…”

Section: E Future Research Directionsmentioning

confidence: 99%

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Luo

Bai

2021

IEEE Access

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“…The work of Chin-Ling Chen et al on a traceable online will system is based on blockchain and smart contract technology. In this work, the authors raise the issue of the complexity, falsification, slowness and high cost of drawing up wills; to remedy this, they propose a traceable online will system integrating a dispute arbitration strategy based on blockchain technology [4]. In the same vein, the work of Malik, Gunit Parasrampuria, Kshitij Reddy, Sai Prasanth Shah, Seema on a blockchain-based identity verification model, for the authors, the problems lie in the falsification of government documents, cumbersome, tedious tasks and long process in document verification; for this, they propose a private blockchain-based document verification model [5].…”

Section: Introductionmentioning

confidence: 99%

Towards a New Model for the Production of Civil Status Records Using Blockchain

Eddy¹,

Georges²,

Salomon³

2023

JIS

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The work presented in this article focuses on document forgery. Document fraud is a generic term used to designate a fraud, a falsification of a document. The said falsification can be observed in several sectors of everyday life. For a better illustration, let's consider a system for producing civil status forms. The birth certificate is generally the basis of any individual's life, and if this document is falsified, it can have repercussions at several levels, particularly in the academic field, where false diplomas, false national identity cards, false passports, false marriage certificates, etc. are obtained. It is therefore demonstrated that a secure production unit for civil status forms can be beneficial to both developed and developing countries. In addition, smart contract is proposed using a private Hyperledger fabric blockchain for validation of civil status documents, and a non-state public key management infrastructure is also proposed to authenticate the nodes that will validate the transactions. This improved blockchain solves the problem of falsification of civil status documents, as false nodes can contribute to the validation of a transaction. The contribution of such a hybrid system is of paramount importance for the identity of civil status documents on the one hand and for the identity of documents in general, and the blockchain to guarantee the distributed, unforgeable, non-repudiation, transparency and disintermediation character.

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Privacy‐preserving collaboration in blockchain‐enabled IoT: The synergy of modified homomorphic encryption and federated learning

Anitha,

Murugan

2024

Int J Communication

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SummaryThe proliferation of network devices capable of gathering, transmitting, and receiving data over the Internet has spurred the widespread adoption of Internet of Things (IoT) devices, particularly in resource‐oriented applications. Integrating blockchain, IoT, homomorphic encryption, and federated learning requires a balance between computational requirements and real‐time performance. Secure key management is crucial to maintain data privacy and integrity. Compliance with privacy regulations requires careful implementation of privacy‐preserving mechanisms in blockchain‐enabled IoT environments, which can be subjected to various attacks. Addressing these challenges requires interdisciplinary expertise, research, and innovation to develop more efficient and effective privacy‐preserving techniques tailored to the unique characteristics of such environments. This research introduces the Modified Homomorphic Encryption Federated‐based Adaptive Hybrid Dandelion Search (MHEF‐AHDS) algorithm as an effective framework to enhance security in blockchain‐enabled IoT systems. The amalgamation of Modified Homomorphic Encryption (MHE) and Federated Learning (FL) constitutes a potent alliance that addresses privacy concerns within collaborative and decentralized machine learning environments. This facilitates secure and adaptable data collaboration, effectively mitigating privacy risks associated with sensitive information. The integration of quantum machine learning into security applications presents an exciting opportunity for distinctive progress and innovation. Within this work, the Adaptive Hybrid Dandelion optimization algorithm, featuring an Initial search strategy, is employed for hyperparameter optimization thereby elevating the performances of the proposed MHEF‐AHDS method. Furthermore, the integration of smart contracts and Blockchain‐based IoT enhances the overall security of the proposed method. MHEF‐AHDS comprehensively tackles privacy, security, and scalability challenges through robust security measures and privacy enhancements. The performance evaluation of the MHEF‐AHDS method encompasses a thorough analysis based on key metrics such as throughput, latency, scalability, energy consumption, accuracy, precision, recall, and f1‐score. Comparative assessments against existing methods are conducted to gauge the effectiveness of the proposed method in addressing security, privacy, and scalability concerns.

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A Traceable Online Will System Based on Blockchain and Smart Contract Technology

Cited by 17 publications

References 18 publications

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Towards a New Model for the Production of Civil Status Records Using Blockchain

Privacy‐preserving collaboration in blockchain‐enabled IoT: The synergy of modified homomorphic encryption and federated learning

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