A Survey on Blockchain Technology and its Proposed Solutions

Dave, Dharmin; Parikh, Shalin; Patel, Reema; Doshi, Nishant

doi:10.1016/j.procs.2019.11.017

Cited by 40 publications

(26 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Content may change prior to final publication. [30] 2019 NA A systematic literature review of blockchain technology in agriculture [31] 2019 NA Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges [13] 2020 NA Blockchain and agricultural supply chains traceability: Research trends and future challenges [32] 2020 38…”

Section: Benefits and Challenges: A Review Of Reviewsmentioning

confidence: 99%

User Interface of Blockchain-Based Agri-Food Traceability Applications: A Review

Tharatipyakul

Pongnumkul

2021

IEEE Access

View full text Add to dashboard Cite

Blockchain technology is a secure distributed ledger for lists of transactions, which has immense potential to solve traditional agri-food supply chain issues. An increasing number of research on blockchain-based traceability applications aims to improve food quality and safety. Still, relatively few works considered user interfaces when developing and reporting their applications, which could lead to usability issues. This paper aims to address this gap by reviewing existing works from user interface perspectives. We gathered 25 review papers on blockchain or agri-food supply chain and 39 research papers that presented screenshots of user interfaces of related applications. We first reviewed 7 review papers that focused on the blockchain-based agri-food supply chain to understand the benefits and challenges in the blockchain applications. We then analyzed 14 blockchain-based agri-food traceability applications and 10 non-blockchain-based agri-food traceability applications. The analysis resulted in categorizations of 5 target user groups, 3 main approaches for collecting data, 5 main approaches for visualizing data, and a discussion of other aspects of user interfaces. However, we found insufficient details and discussions on the user interfaces and design decisions of the applications for further usability assessment. Additionally, user involvement for evaluation is lower in blockchain-based researches than in non-blockchain-based researches. This trend could lead to usability problems of blockchain applications, causing blockchain technology to be underutilized. Finally, we discussed research gaps and future research directions related to user interface design, which should be addressed to ease future blockchain adoption.

show abstract

Section: Benefits and Challenges: A Review Of Reviewsmentioning

confidence: 99%

User Interface of Blockchain-Based Agri-Food Traceability Applications: A Review

Tharatipyakul

Pongnumkul

2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Blockchain juga memiliki kemampuan untuk mengotomatisasi pembayaran dalam cryptocurrency, menyediakan akses data transaksi secara desentralisasi yang aman dan tepercaya (Salman et al, 2019), (Yadaf & Singh, 2019), (Zheng et al, 2017). Teknologi blockchain pertama kali dikenalkan melalui sistem bitcoin (Nakamoto, 2008) dan terus berkembang baik dalam hal manajemen, privasi, keamanan dan tata kelola data hingga diaplikasikan untuk meningkatkan kepercayaan sistem pada bidang kesehatan, pendidikan, bisnis, industri, manajemen rantai pasok dan keuangan (Casino, Dasaklis & Patsakis, 2019), (Dave et al, 2019), (Casado et al, 2018).…”

Section: Pendahuluanunclassified

Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur

Wihartiko

Nurdiati

Buono

et al. 2021

JTIIK

View full text Add to dashboard Cite

Dewasa ini teknologi blockchain dan kecerdasan buatan (artificial intelligence/AI) telah diimplementasikan dalam bidang pertanian. Teknologi blockchain menjanjikan keamanan dan peningkatan kepercayaan untuk pengguna. Teknologi kecerdasan buatan menjanjikan berbagai kemudahan bagi pengguna. Perpaduan kedua teknologi tersebut dapat meningkatan kepercayaan terhadap sistem kecerdasan buatan (blockchain for AI) atau dapat juga digunakan untuk meningkatkan kinerja sistem blockchain (AI for blockchain). Tujuan penelitian ini mengulas kedua teknologi tersebut dalam studi literatur serta memberikan tantangan riset ke depan terkait implementasinya di bidang pertanian. Metodologi yang digunakan adalah Systematic Literature Review (SLR) dan text mining. Text mining digunakan untuk memberikan deskripsi riset yang ada berdasarkan kata-kata di setiap artikel terpilih. SLR digunakan untuk memberikan ulasan yang komprehensif terkait riset Blockchain dan kecerdasan Buatan dalam pertanian. Hasil penelitian menunjukan bahwa terdapat 10 % penelitian terkait penerapan blockchain dan AI dalam pertanian. Riset tersebut memiliki potensi besar untuk berkembang terlihat dari peningkatan jumlah publikasi dalam 2 tahun terakhir. Kontribusi penelitian ini meliputi posisi riset terkini dan usulan riset ke depan dengan mempertimbangkan kondisi pertanian Indonesia. Posisi riset tersebut didominasi komunitas peneliti dari negara-negara di Asia seperti India (33%), Pakistan (33%), China (14%) dan Korea (14%). Originalitas penelitian ini terletak pada studi literatur dari integrasi teknologi blockchain dan kecerdasan buatan dalam bidang pertanian menggunakan SLR dan text mining. AbstractArtificial intelligence and blockchain technology are being developed and implemented in Agriculture. Blockchain technology promises security and trust for users. Moreover, artificial intelligence technology promises convenience for users. The combination of these two technologies will increase trust in artificial intelligence systems. Besides, this combination can also increase security on the blockchain system through the application of artificial intelligence. This paper summarizes the application of both technologies and reviews them in a systematic literature review, presents a description of articles based on text mining, and provides future research challenges related to the implementation of blockchain and artificial intelligence in agriculture. The methodologies used are Systematic Literature Review (SLR) and text mining. Text mining is used to describe a description of existing research based on the words in each selected article. SLR is used to provide a comprehensive review of Blockchain research and Artificial intelligence in agriculture. The results showed that there were 10% of research related to the application of blockchain and AI in agriculture. This research has great potential for growth as seen from the increase in the number of publications in the last 2 years. The contribution of this research includes the latest research positions and future research proposals taking into account the conditions of Indonesian agriculture. The research position is dominated by the research community from countries in Asia such as India (33%), Pakistan (33%), China (14%) and Korea (14%). The originality of this research is a literature study on the integration of blockchain and artificial intelligence in agriculture using SLR and text mining.

show abstract

“…Research Findings Qiu, Lu, & Lin (2019) Analysis of cryptography using fuzzy method Guo et al (2019) Efficiency during connection through node to node by applying blockchain Lou et al (2018) Blockchain application in trust model NDN (Named Data Networking) Dave et al (2019) Wide application by using blockchain, but less implementation because of some disadvantages Preece & Easton (2018) Virtual machine modification inside blockchain programming language Alharby, Aldweesh, & Moorsel (2018) Smart contract blockchain for every sector Zhang et al (2019) Data security to deal with blockhain widely Wang, Tian, & Zhu (2018) Data encryption to ensure the authenticity of data on the blockchain network Holtkemper & Wieninger (2018) Types of company data to be stored in a blockchain network Nagesh & Thejaswini (2017) Data security by using AES Algorithm Bak, Pyo, & Jeong (2019) Data encryption with EGG integrity blockchain Yi (2019) Machine learning algorithm and blockchain encryption for instant message…”

Section: Authormentioning

confidence: 99%

“…In addition, a chain also can update data using cryptographic method to secure data transfer and access (Lou et al, 2018). Some of demands in transferring and accessing data are security issues (Dave et al, 2019), (Jain & Sejwar, 2017). By using blockchain technology, security field can be increased (Preece & Easton, 2018;Tawalbeh et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Data Encryption Algorithm Aes by Using Blockchain Technology: A Review

Hidayat

Mahardiko

2021

baca.j.dok.inf.

View full text Add to dashboard Cite

Blockchain is used as encryption algorithm in cryptocurrency, but less researches are found to study blockchain for data encryption. Data encryption is needed to protect the data from data theft. We know about data encryption, there are RSA, LEAP, AES, and other algorithms. This research proposed a review in AES algorithm for data encryption within blockchain technology. The research process is followed by determining library, then creating relevant questions and criteria. For good opportunity in the future, this paper generated suggestions and opportunities so that better research can be established in data encryption.

show abstract

A Survey on Blockchain Technology and its Proposed Solutions

Cited by 40 publications

References 3 publications

User Interface of Blockchain-Based Agri-Food Traceability Applications: A Review

User Interface of Blockchain-Based Agri-Food Traceability Applications: A Review

Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur

Data Encryption Algorithm Aes by Using Blockchain Technology: A Review

Contact Info

Product

Resources

About