scholarly journals Decentralizing Supply Chain Anti-Counterfeiting and Traceability Systems Using Blockchain Technology

2021 ◽  
Vol 13 (4) ◽  
pp. 84
Author(s):  
Neo C. K. Yiu
Keyword(s):  
Supply Chain ◽  
Single Point ◽  
Storage System ◽  
Research Problem ◽  
Scientific Data ◽  
Wine Industry ◽  
Data Provenance ◽  
Consensus Protocol ◽  
Management Platform ◽  
Blockchain Technology

An interesting research problem in the supply chain industry is evaluating and determining the provenance of physical goods—demonstrating the authenticity of luxury goods such as bottled wine. However, many supply chain systems and networks have been built and implemented with centralized system architecture, relying on centralized authorities or any form of intermediary, and leading to issues such as single-point processing, storage and failure, which could be susceptible to malicious modifications to product records or various potential attacks to system components by dishonest participant nodes traversing along the supply chain. Blockchain technology has evolved from merely being a decentralized, distributed and immutable ledger of cryptocurrency transactions to a programmable interactive environment for building decentralized and reliable applications addressing different use-cases and existing problems in the world. In this research, with a chosen research method of proof-by-demonstration, the Decentralized NFC-Enabled Anti-Counterfeiting System (dNAS) is proposed and developed, decentralizing a legacy anti-counterfeiting system of the supply-chain industry using Blockchain technology to facilitate trustworthy data provenance retrieval, verification and management, as well as strengthening the capability of the product’s anti-counterfeiting and traceability qualities in the wine industry, with the capacity to further extend this to the supply chain industry as a whole. The proposed dNAS utilizes a decentralized blockchain network with a consensus protocol compatible with the concept of enterprise blockchain, programmable smart contracts and a distributed file storage system to develop a secure and immutable scientific-data provenance tracking and management platform on which provenance records, providing compelling properties of the data integrity of luxurious goods, are recorded, verified and validated automatically.

scholarly journals Toward Blockchain-Enabled Supply Chain Anti-Counterfeiting and Traceability

2021 ◽  
Vol 13 (4) ◽  
pp. 86
Author(s):  
Neo C. K. Yiu
Keyword(s):  
Supply Chain ◽  
Fundamental System ◽  
Scientific Data ◽  
Data Provenance ◽  
Supply Chain Networks ◽  
Management Platform ◽  
Blockchain Technology ◽  
Interactive Environment ◽  
System Requirements ◽  
Centralized System

Existing product anti-counterfeiting and traceability solutions across today’s internationally spanning supply chain networks are indeed developed and implemented with centralized system architecture relying on centralized authorities or intermediaries. Vulnerabilities of centralized product anti-counterfeiting solutions could possibly lead to system failure or susceptibility of malicious modifications performed on product records or various potential attacks to the system components by dishonest participant nodes traversing along the supply chain. Blockchain technology has progressed from simply being a use case of immutable ledger for cryptocurrency transactions, to a programmable interactive environment of developing decentralized and reliable applications addressing different use cases globally. Key areas of decentralization, fundamental system requirements, and feasible mechanisms of developing decentralized product anti-counterfeiting and traceability ecosystems utilizing blockchain technology are identified in this research, via a series of security analyses performed against solutions currently implemented in supply chain industry with centralized architecture. The decentralized solution will be a secure and immutable scientific data provenance tracking and management platform where provenance records, providing compelling properties on data integrity of luxurious goods, are recorded and verified automatically across the supply chain.

scholarly journals Block chain Based Data Provenance in Supply chain

2020 ◽  
Vol 9 (3) ◽  
pp. 317-322
Keyword(s):  
Supply Chain ◽  
Research Problem ◽  
Financial Resources ◽  
Data Provenance ◽  
New Era ◽  
Supply Chain Networks ◽  
Blockchain Technology ◽  
Smart Contract ◽  
Block Chain ◽  
Initial Uncertainty

Blockchain technology as an infrastructure allows an innovational platform for a new transparent and decentralized transaction mechanism for different type of industries and businesses. Different attributes of blockchain technology increase trust through traceability and transparency ability of goods, data and financial resources within any transaction. Regardless of initial uncertainty about this technology, government and many major enterprises and firms have recently examined the adoption and improvement of this technology in several areas of applications, from social, legal and finance industries to manufacturing, design and supply-chain networks. An interesting research problem in this new era is that of determining provenance. At present, goods which are produced and transported using complicated medium supply chains, in this type of supply chain it is impossible to evaluate the provenance of physical goods. We have an interest in the blockchain as there are numerous favored use cases of blockchain especially for provenance tracking. In this paper we review the basics features of the blockchain along with its type like permission less and permissioned blockchain. Then discussed the need of provenance of assets in supplychain as it increase the trust of the customer and proposed a process and architecture for providing the data provenance in supply chain with blockchain using smart contract.

scholarly journals Blockchain in Oil and Gas Industry: Applications, Challenges, and Future Trends

2021 ◽  
Author(s):  
Raja Wasim Ahmad ◽  
Khaled Salah ◽  
Raja Jayaraman ◽  
Ibrar Yaqoob ◽  
Mohammed Omar
Keyword(s):  
Supply Chain ◽  
Oil And Gas ◽  
Single Point ◽  
Oil And Gas Industry ◽  
Petroleum Products ◽  
Petroleum Exploration ◽  
Future Research ◽  
Data Provenance ◽  
Gas Industry ◽  
Blockchain Technology

Today's systems, approaches, and technologies leveraged for managing oil and gas supply chain operations fall short in providing operational transparency, traceability, audit, security, and trusted data provenance features. Also, a large portion of the existing systems is centralized, manual, and highly disintegrated which make them vulnerable to manipulation and the single point of failure problem. In this survey, we explore the potential opportunities and applications of blockchain technology in managing the exploration, production, and supply chain and logistics operations in the oil and gas industry as it can offer traceability, immutability, transparency, and audit features in a decentralized, trusted, and secure manner. We discuss state-of-the-art blockchain-based schemes, research projects, business initiatives, and case studies to highlight the practicability of blockchain in the oil and gas industry. We present the potential opportunities brought about by blockchain technology in various use cases and application scenarios. We introduce several systems that leverage blockchain-based smart contracts to automate the important services in terms of tracking and tracing of petroleum products, protection of international trade documents, and coordination of purchasing and bidding activities for granting oil exploration rights to petroleum exploration and development companies. Finally, we present open challenges acting as future research directions.

scholarly journals Blockchain for Deep Learning: Review and Open Challenges

2021 ◽  
Author(s):  
Muhammad Shafay ◽  
Raja Wasim Ahmad ◽  
Khaled Salah ◽  
Ibrar Yaqoob ◽  
Raja Jayaraman ◽  
...  
Keyword(s):  
Deep Learning ◽  
State Of The Art ◽  
Single Point ◽  
Data Provenance ◽  
Learning Models ◽  
Data Types ◽  
Consensus Protocol ◽  
Blockchain Technology ◽  
Trusted Data ◽  
Learning Frameworks

Deep learning has gained huge traction in recent years because of its potential to make informed decisions. A large portion of today's deep learning systems are based on centralized servers and fall short in providing operational transparency, traceability, reliability, security, and trusted data provenance features. Also, training deep learning models by utilizing centralized data is vulnerable to the single point of failure problem. In this paper, we explore the importance of integrating blockchain technology with deep learning. We review the existing literature focused on the integration of blockchain with deep learning. We classify and categorize the literature by devising a thematic taxonomy based on seven parameters; namely, blockchain type, deep learning models, deep learning specific consensus protocols, application area, services, data types, and deployment goals. We provide insightful discussions on the state-of-the-art blockchain-based deep learning frameworks by highlighting their strengths and weaknesses. Furthermore, we compare the existing blockchain-based deep learning frameworks based on four parameters such as blockchain type, consensus protocol, deep learning method, and dataset. Finally, we present important research challenges which need to be addressed to develop highly efficient, robust, and secure deep learning frameworks.

scholarly journals Blockchain for Deep Learning: Review and Open Challenges

2021 ◽  
Author(s):  
Muhammad Shafay ◽  
Raja Wasim Ahmad ◽  
Khaled Salah ◽  
Ibrar Yaqoob ◽  
Raja Jayaraman ◽  
...  
Keyword(s):  
Deep Learning ◽  
State Of The Art ◽  
Single Point ◽  
Data Provenance ◽  
Learning Models ◽  
Data Types ◽  
Consensus Protocol ◽  
Blockchain Technology ◽  
Trusted Data ◽  
Learning Frameworks

Deep learning has gained huge traction in recent years because of its potential to make informed decisions. A large portion of today's deep learning systems are based on centralized servers and fall short in providing operational transparency, traceability, reliability, security, and trusted data provenance features. Also, training deep learning models by utilizing centralized data is vulnerable to the single point of failure problem. In this paper, we explore the importance of integrating blockchain technology with deep learning. We review the existing literature focused on the integration of blockchain with deep learning. We classify and categorize the literature by devising a thematic taxonomy based on seven parameters; namely, blockchain type, deep learning models, deep learning specific consensus protocols, application area, services, data types, and deployment goals. We provide insightful discussions on the state-of-the-art blockchain-based deep learning frameworks by highlighting their strengths and weaknesses. Furthermore, we compare the existing blockchain-based deep learning frameworks based on four parameters such as blockchain type, consensus protocol, deep learning method, and dataset. Finally, we present important research challenges which need to be addressed to develop highly efficient, robust, and secure deep learning frameworks.

scholarly journals Blockchain in Oil and Gas Industry: Applications, Challenges, and Future Trends

2021 ◽  
Author(s):  
Raja Wasim Ahmad ◽  
Khaled Salah ◽  
Raja Jayaraman ◽  
Ibrar Yaqoob ◽  
Mohammed Omar
Keyword(s):  
Supply Chain ◽  
Oil And Gas ◽  
Single Point ◽  
Oil And Gas Industry ◽  
Petroleum Products ◽  
Petroleum Exploration ◽  
Future Research ◽  
Data Provenance ◽  
Gas Industry ◽  
Blockchain Technology

Today's systems, approaches, and technologies leveraged for managing oil and gas supply chain operations fall short in providing operational transparency, traceability, audit, security, and trusted data provenance features. Also, a large portion of the existing systems is centralized, manual, and highly disintegrated which make them vulnerable to manipulation and the single point of failure problem. In this survey, we explore the potential opportunities and applications of blockchain technology in managing the exploration, production, and supply chain and logistics operations in the oil and gas industry as it can offer traceability, immutability, transparency, and audit features in a decentralized, trusted, and secure manner. We discuss state-of-the-art blockchain-based schemes, research projects, business initiatives, and case studies to highlight the practicability of blockchain in the oil and gas industry. We present the potential opportunities brought about by blockchain technology in various use cases and application scenarios. We introduce several systems that leverage blockchain-based smart contracts to automate the important services in terms of tracking and tracing of petroleum products, protection of international trade documents, and coordination of purchasing and bidding activities for granting oil exploration rights to petroleum exploration and development companies. Finally, we present open challenges acting as future research directions.

scholarly journals Leveraging Blockchain Technology to Enhance Supply Chain Management in Healthcare:

2018 ◽  
Author(s):  
Kevin A. Clauson ◽  
Elizabeth A. Breeden ◽  
Cameron Davidson ◽  
Timothy K. Mackey
Keyword(s):  
Public Health ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Technology Use ◽  
Grey Literature ◽  
Data Provenance ◽  
Pharmaceutical Supply Chain ◽  
Chain Management ◽  
Blockchain Technology ◽  
Safety And Health

Background: Effective supply chain management is a challenge in every sector, but in healthcare there is added complexity and risk as a compromised supply chain in healthcare can directly impact patient safety and health outcomes. One potential solution for improving security, integrity, data provenance, and functionality of the health supply chain is blockchain technology. Objectives: Provide an overview of the opportunities and challenges associated with blockchain adoption and deployment for the health supply chain, with a focus on the pharmaceutical supply, medical device and supplies, Internet of Healthy Things (IoHT), and public health sectors. Methods: A narrative review was conducted of the academic literature, grey literature, and industry publications, in addition to identifying and characterizing select stakeholders engaged in exploring blockchain solutions for the health supply chain. Results: Critical challenges in protecting the integrity of the health supply chain appear well suited for adoption of blockchain technology. Use cases are emerging, including using blockchain to combat counterfeit medicines, securing medical devices, optimizing functionality of IoHT, and improving the public health supply chain. Despite these clear opportunities, most blockchain initiatives remain in proof-of-concept or pilot phase. Conclusion: Blockchain technology has the unrealized promise to help improve the health supply chain, but further study, evaluation and alignment with policy mechanisms is needed. Keywords: Blockchain, Distributed Ledger, Pharmacy, Pharmaceutical, Supply chain  

scholarly journals Blockchain for Electric Vehicles Energy Trading: Requirements, Opportunities, and Challenges

2021 ◽  
Author(s):  
Nasser Al-Saif ◽  
Raja Wasim Ahmad ◽  
Khaled Salah ◽  
Ibrar Yaqoob ◽  
Raja Jayaraman ◽  
...  
Keyword(s):  
Fault Tolerance ◽  
Case Studies ◽  
Electric Vehicles ◽  
Single Point ◽  
Data Provenance ◽  
Successful Implementation ◽  
Research Projects ◽  
Energy Trading ◽  
Blockchain Technology ◽  
Trusted Data

Today's technologies, techniques, and systems leveraged for managing energy trading operations in electric vehicles fall short in providing operational transparency, immutability, fault tolerance, traceability, and trusted data provenance features. They are centralized and vulnerable to the single point of failure problem, and less trustworthy as they are prone to the data modifications and deletion by adversaries. In this paper, we present the potential advantages of blockchain technology to manage energy trading operations between electric vehicles as it can offer data traceability, immutability, transparency, audit, security, and confidentiality in a fully decentralized manner. We identify and discuss the essential requirements for the successful implementation of blockchain technology to secure energy trading operations among electric vehicles. We present a detailed discussion on the potential opportunities offered by blockchain technology to secure the energy trading operations of electric vehicles. We discuss several blockchain-based research projects and case studies to highlight the practicability of blockchain technology in electric vehicles energy trading. Finally, we identify and discuss open challenges in fulfilling the requirements of electric vehicles energy trading applications.

scholarly journals Blockchain for Waste Management in Smart Cities: A Survey

2021 ◽  
Author(s):  
Raja Wasim Ahmad ◽  
Khaled Salah ◽  
Raja Jayaraman ◽  
Ibrar Yaqoob ◽  
Mohammed Omar
Keyword(s):  
Waste Management ◽  
Waste Treatment ◽  
Smart Cities ◽  
Single Point ◽  
Future Research ◽  
Data Provenance ◽  
Blockchain Technology ◽  
Future Research Directions ◽  
Trusted Data

Smart cities have the potential to overcome environmental problems caused by improper waste disposal to improve human health, protect the aquatic ecosystem, and reduce air pollution. However, today's systems, approaches, and technologies leveraged for waste management are manual and centralized that make them vulnerable to manipulation and the single point of failure problem. Also, a large portion of the existing waste management systems within smart cities fall short in providing operational transparency, traceability, audit, security, and trusted data provenance features. In this paper, we explore the key role of blockchain technology in managing waste within smart cities as it can offer traceability, immutability, transparency, and audit features in a decentralized, trusted, and secure manner. We discuss the opportunities brought about by blockchain technology in various waste management use cases and application scenarios, including real-time tracing and tracking of waste, reliable channelization and compliance with waste treatment laws, efficient waste resources management, protection of waste management documentation, and fleet management. We introduce a framework that leverages blockchain-based smart contracts to automate the key services in terms of waste management of smart cities. We compare the existing blockchain-based waste management solutions based on important parameters. Furthermore, we present insightful discussions on several ongoing blockchain-based research projects and case studies to highlight the practicability of blockchain in waste management. Finally, we present open challenges that act as future research directions.

scholarly journals Blockchain for Waste Management in Smart Cities: A Survey

2021 ◽  
Author(s):  
Raja Wasim Ahmad ◽  
Khaled Salah ◽  
Raja Jayaraman ◽  
Ibrar Yaqoob ◽  
Mohammed Omar
Keyword(s):  
Waste Management ◽  
Waste Treatment ◽  
Smart Cities ◽  
Single Point ◽  
Future Research ◽  
Data Provenance ◽  
Blockchain Technology ◽  
Future Research Directions ◽  
Trusted Data

Smart cities have the potential to overcome environmental problems caused by improper waste disposal to improve human health, protect the aquatic ecosystem, and reduce air pollution. However, today's systems, approaches, and technologies leveraged for waste management are manual and centralized that make them vulnerable to manipulation and the single point of failure problem. Also, a large portion of the existing waste management systems within smart cities fall short in providing operational transparency, traceability, audit, security, and trusted data provenance features. In this paper, we explore the key role of blockchain technology in managing waste within smart cities as it can offer traceability, immutability, transparency, and audit features in a decentralized, trusted, and secure manner. We discuss the opportunities brought about by blockchain technology in various waste management use cases and application scenarios, including real-time tracing and tracking of waste, reliable channelization and compliance with waste treatment laws, efficient waste resources management, protection of waste management documentation, and fleet management. We introduce a framework that leverages blockchain-based smart contracts to automate the key services in terms of waste management of smart cities. We compare the existing blockchain-based waste management solutions based on important parameters. Furthermore, we present insightful discussions on several ongoing blockchain-based research projects and case studies to highlight the practicability of blockchain in waste management. Finally, we present open challenges that act as future research directions.

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