Matching Items (12)
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- Creators: Computer Science and Engineering Program
- Creators: Department of Supply Chain Management
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Description
This paper details the specification and implementation of a single-machine blockchain simulator. It also includes a brief introduction on the history & underlying concepts of blockchain, with explanations on features such as decentralization, openness, trustlessness, and consensus. The introduction features a brief overview of public interest and current implementations of blockchain before stating potential use cases for blockchain simulation software. The paper then gives a brief literature review of blockchain's role, both as a disruptive technology and a foundational technology. The literature review also addresses the potential and difficulties regarding the use of blockchain in Internet of Things (IoT) networks, and also describes the limitations of blockchain in general regarding computational intensity, storage capacity, and network architecture. Next, the paper gives the specification for a generic blockchain structure, with summaries on the behaviors and purposes of transactions, blocks, nodes, miners, public & private key cryptography, signature validation, and hashing. Finally, the author gives an overview of their specific implementation of the blockchain using C/C++ and OpenSSL. The overview includes a brief description of all the classes and data structures involved in the implementation, including their function and behavior. While the implementation meets the requirements set forward in the specification, the results are more qualitative and intuitive, as time constraints did not allow for quantitative measurements of the network simulation. The paper concludes by discussing potential applications for the simulator, and the possibility for future hardware implementations of blockchain.
ContributorsRauschenbach, Timothy Rex (Author) / Vrudhula, Sarma (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
The purpose of this thesis research project is to explore blockchain technology and its present and future applications within supply chain management. Emerging blockchain technologies, both public and private, are already showing great promise for a number of applications in and outside supply chain management. Our sole focus is to understand the fundamentals of blockchain, smart contracts, current applications in supply chain, and the future possibilities for blockchain to shape global supply chains. Many have theorized about how private blockchains can be implemented and used; however, there is little research to date that has collected and explored the actual use cases in industry today. The mission of this research paper is to separate theory from the current state of the technology and provide a clearer understanding of where the technology is headed in the near future. We aim to produce a work that will provide a comprehensive description and commentary on current use cases for the education of students and industry professionals alike. With any new technological developments, terminology and technicalities can be paralyzing, and this is particularly true for blockchain technology. For this project, our goal was to create a document that cuts through the complexities and allows a non-technical audience to gain a strong foundational understanding of blockchain's potential and current limitations within supply chains. Provided this, some highly technical concepts and implementation details will not be explored due to the complexity and minimal understanding even amongst industry experts. As future supply chain professionals, we are motivated to further our understanding of blockchain technologies and the potential for this technology to shape the future of supply chain management.
ContributorsBecker, Logan (Co-author) / Falco, Alexander (Co-author) / Murphy, Thomas Brian (Co-author) / Taylor, Todd (Thesis director) / Wiedmer, Robert (Committee member) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The explosive Web growth in the last decade has drastically changed the way billions of people all around the globe conduct numerous activities including creating, sharing, and consuming information. The massive amount of user-generated information encourages companies and service providers to collect users' information and use it in order to better their own goals and then further provide personalized services to users as well. However, the users' information contains their private and sensitive information and can lead to breach of users' privacy. Anonymizing users' information before publishing and using such data is vital in securing their privacy. Due to the many forms of user information (e.g., structural, interactions, etc), different techniques are required for anonymization of users' data. In this thesis, first we discuss different anonymization techniques for various types of user-generated data, i.e., network graphs, web browsing history, and user-item interactions. Our experimental results show the effectiveness of such techniques for data anonymization. Then, we briefly touch on securely and privately sharing information through blockchains.
ContributorsNou, Alex Sheavin (Author) / Liu, Huan (Thesis director) / Beigi, Ghazaleh (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Third-party mixers are used to heighten the anonymity of Bitcoin users. The mixing techniques implemented by these tools are often untraceable on the blockchain, making them appealing to money launderers. This research aims to analyze mixers currently available on the deep web. In addition, an in-depth case study is done on an open-source bitcoin mixer known as Penguin Mixer. A local version of Penguin Mixer was used to visualize mixer behavior under specific scenarios. This study could lead to the identification of vulnerabilities in mixing tools and detection of these tools on the blockchain.
ContributorsPakki, Jaswant (Author) / Doupe, Adam (Thesis director) / Shoshitaishvili, Yan (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Through my work with the Arizona State University Blockchain Research Lab (BRL) and JennyCo, one of the first Healthcare Information (HCI) HIPAA - compliant decentralized exchanges, I have had the opportunity to explore a unique cross-section of some of the most up and coming DLTs including both DAGs and blockchains. During this research, four major technologies (including JennyCo’s own systems) presented themselves as prime candidates for the comparative analysis of two models for implementing JennyCo’s system architecture for the monetization of healthcare information exchanges (HIEs). These four identified technologies and their underlying mechanisms will be explored thoroughly throughout the course of this paper and are listed with brief definitions as follows: Polygon - “Polygon is a “layer two” or “sidechain” scaling solution that runs alongside the Ethereum blockchain. MATIC is the network’s native cryptocurrency, which is used for fees, staking, and more” [8]. Polygon is the scalable layer involved in the L2SP architecture. Ethereum - “Ethereum is a decentralized blockchain platform that establishes a peer-to-peer network that securely executes and verifies application code, called smart contracts.” [9] This foundational Layer-1 runs thousands of nodes and creates a unique decentralized ecosystem governed by turing complete automated programs. Ethereum is the foundational Layer involved in the L2SP. Constellation - A novel Layer-0 data-centric peer-to-peer network that utilizes the “Hypergraph Transfer Protocol or HGTP, a DLT known as a [DAG] protocol with a novel reputation-based consensus model called Proof of Reputable Observation (PRO). Hypergraph is a feeless decentralized network that supports the transfer of $DAG cryptocurrency.” [10] JennyCo Protocol - Acts as a HIPAA compliant decentralized HIE by allowing consumers, big businesses, and brands to access and exchange user health data on a secure, interoperable, and accessible platform via DLT. The JennyCo Protocol implements utility tokens to reward buyers and sellers for exchanging data. Its protocol nature comes from its DLT implementation which governs the functioning of on-chain actions (e.g. smart contracts). In this case, these actions consist of secure and transparent health data exchange and monetization to reconstitute data ownership to those who generate that data [11]. With the direct experience of working closely with multiple companies behind the technologies listed, I have been exposed to the benefits and deficits of each of these technologies and their corresponding approaches. In this paper, I will use my experience with these technologies and their frameworks to explore two distributed ledger architecture protocols in order to determine the more effective model for implementing JennycCo’s health data exchange. I will begin this paper with an exploration of blockchain and directed acyclic graph (DAG) technologies to better understand their innate architectures and features. I will then move to an in-depth look at layered protocols, and healthcare data in the form of EHRs. Additionally, I will address the main challenges EHRs and HIEs face to present a deeper understanding of the challenges JennyCo is attempting to address. Finally, I will demonstrate my hypothesis: the Hypergraph Transfer Protocol (HGTP) model by Constellation presents significant advantages in scalability, interoperability, and external data security over the Layer-2 Scalability Protocol (L2SP) used by Polygon and Ethereum in implementing the JennyCo protocol. This will be done through a thorough breakdown of each protocol along with an analysis of relevant criteria including but not limited to: security, interoperability, and scalability. In doing so, I hope to determine the best framework for running JennyCo’s HIE Protocol.
ContributorsVan Bussum, Alexander (Author) / Boscovic, Dragan (Thesis director) / Grando, Adela (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-05
Description
The purpose of this thesis is to imagine and predict the ways in which humans will utilize technology to feed the world population in the 21st century, in spite of significant challenges we have not faced before. This project will first thoroughly identify and explain the most pressing challenges the future will bring in climate change and population growth; both projected to worsen as time goes on. To guide the prediction of how technology will impact the 21st century, a theoretical framework will be established, based upon the green revolution of the 20th century. The theoretical framework will summarize this important historical event, and analyze current thought concerning the socio-economic impacts of the agricultural technologies introduced during this time. Special attention will be paid to the unequal disbursement of benefits of this green revolution, and particularly how it affected small rural farmers. Analysis of the technologies introduced during the green revolution will be used to predict how 21st century technologies will further shape the agricultural sector. Then, the world’s current food crisis will be compared to the crisis that preceded the green revolution. A “second green revolution” is predicted, and the agricultural/economic impact of these advances is theorized based upon analysis of farming advances in the 20th century.
ContributorsWilson, Joshua J (Author) / Strumsky, Deborah (Thesis director) / Benjamin, Victor (Committee member) / Department of Supply Chain Management (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This study aims to examine how the use of consensus-based transactions, smart contracts,and interoperability, provided by blockchain, may benefit the blood plasma industry. Plasmafractionation is the process of separating blood into multiple components to garner benefitsof increased lifespan, specialized allocation, and decreased waste, thereby creating a morecomplex and flexible supply chain. Traditional applications of blockchain are developed onthe basis of decentralization—an infeasible policy for this sector due to stringent governmentregulations, such as HIPAA. However, the trusted nature of the relations in the plasmaindustry’s taxonomy proves private and centralized blockchains as the viable alternative.Implementations of blockchain are widely seen across pharmaceutical supply chains to combatthe falsification of possibly afflictive drugs. This system is more difficult to manage withblood, due to the quick perishable time, tracking/tracing of recycled components, and thenecessity of real-time metrics. Key attributes of private blockchains, such as digital identity,smart contracts, and authorized ledgers, may have the possibility of providing a significantpositive impact on the allocation and management functions of blood banks. Herein, we willidentify the economy and risks of the plasma ecosystem to extrapolate specific applications forthe use of blockchain technology. To understand tangible effects of blockchain, we developeda proof of concept application, aiming to emulate the business logic of modern plasma supplychain ecosystems adopting a blockchain data structure. The application testing simulates thesupply chain via agent-based modeling to analyze the scalability, benefits, and limitations ofblockchain for the plasma fractionation industry.
ContributorsVallabhaneni, Saipavan K (Author) / Boscovic, Dragan (Thesis director) / Kellso, James (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Blockchain technology has the potential to be an effective form of identity management and human trafficking prevention as an identity solution. The topic of this thesis originates from the United Nation’s Sustainable Development Goal to create a form of identity for every individual on the plant by the year 2030. This research analyzed and compared primarily global databases with information on human trafficking populations and unidentified populations to understand both issues, and the intersections of their populations. This is followed by a discussion of Blockchain technology’s attributes and a Blockchain identities potential characteristic. This research concludes that a Blockchain based identity can be used to mitigate human trafficking by creating various forms of identity for affected populations. Four basic factors of Blockchain technology can be utilized through public and private partnerships to address different parts of the AMP model for the cycle of human trafficking. The conclusion that Blockchain is a potential solution to the analyzed issues comes with caution and alongside an examination of the risk factors involved in implementing this technology and the future investigation necessary to test this conclusion. Risk factors with using blockchain technology as a solution are examined to help direct future research on the topic. The conclusion is based off Blockchain’s ability to address specific problems in human trafficking and the global identity crisis (GIC) that were found in the analysis.
ContributorsMcnamara, Mary Patricia (Author) / Wiedmer, Robert (Thesis director) / Calvin, Samantha (Committee member) / Department of Supply Chain Management (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The purpose of this research paper is to examine the fundamentals of blockchain technology and how the application of blockchain could serve as a future platform for identity. An identity is used, as the name suggests, to identify who or what an entity is. Although seen as a trivial concept, defining what truly makes up an identity can become quite difficult. Is an identity the thoughts, feelings, or tendencies of a person? Are more tangible assets like a Social Security card, birth certificate, or passport a person’s identity? Can nonhuman entities like businesses or organizations possess an identity? The true definition of an identity may never be known; however, it is certain that several pieces of identifying data lay scattered across multiple databases. Often a person may not have control or even access to these third-party databases that hold their information. Moreover, what information, for how long, and in what way the data is being used may be unclear. Blockchain provides a solution to the identity problem by providing a visible, secure single source of truth. On a blockchain platform, a person would no longer have to trust the goodwill of third parties to secure their data or be uncertain about how the data is being used. Instead, a user could secure their own data and only permission those deemed necessary. The signal immutable ledger would serve to replace current tangible identities as a means to verify yourself in a digital age.
ContributorsRuggaard, Kyle Russell (Author) / Taylor, Todd (Thesis director) / Collins, Gregory (Committee member) / Thunderbird School of Global Management (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Sustainable supply chain management has become increasingly more important for companies over the last decade. The need to create socially and environmentally sustainable supply chains that are also efficient and profitable is no longer something companies should do, but rather something they must do to stay competitive and successful in the long run. Through the examination of scholarly supply chain literature, case studies, and industry reports with an emphasis on digital technology, supply chain, and sustainability, a conceptual model was created to begin the research in the area of cost savings through the use of digital technologies to enable companies to be more sustainable. This paper works to define the terms sustainability, sustainable supply chain management, and intelligent supply chain designs. It focuses on the positive social and environmental impact of the implementation of leading-edge digital technologies in supply management processes by creating transparency, efficiency, and reliability throughout the supply chain. Through an applied analysis of Mattel, Rana Plaza, Nike, and Coca-Cola and a cost-benefit analysis, it is concluded that companies that implement blockchain technology into their supply management process designs may create more sustainable supply chains while increasing savings and increasing profits. Blockchain may provide the reliability and transparency needed to better manage the supply management process which will evoke better business decisions. Intelligent supply chain designs improve the environmental and social sustainability of a company while maintaining a competitive edge.
Keywords. Supply Chain Management, Social Responsibility, Sustainability, Economics, Supply Management, Blockchain, Intelligent Technology
Paper Type. Conceptual Paper
Keywords. Supply Chain Management, Social Responsibility, Sustainability, Economics, Supply Management, Blockchain, Intelligent Technology
Paper Type. Conceptual Paper
ContributorsVon Mizener, Noel Maria Yvonne Svetlana (Author) / Carter, Craig (Thesis director) / Forst, Bradley (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05