Smart contract and web dapp for tracing sustainability indicators in the textile and clothing value chain

Mestrado em Engenharia Informática na Escola Superior de Tecnologia e Gestão do Instituto Politécnico de Viana do CasteloNa sociedade atual, o têxtil e vestuário é um dos maiores setores de mercado do mundo. O rápido crescimento desta indústria está a ter impactos sem precedentes na sustentabilidade do planeta, respondendo por consequências negativas ambientais, sociais e de saúde. As tendências da fast-fashion, juntamente com a falta de transparência na cadeia de valor têxtil global, somam-se a cenários desfavoráveis para o mundo, à medida que os níveis crescentes de poluição e consumo de recursos dentro da cadeia de valor atingem máximos históricos a cada ano que passa. O ciclo de vida de uma peça de roupa precisa de se adaptar a um modelo económico regenerativo em vez de linear, que acaba no equivalente a um caminhão de lixo de produtos têxteis sendo descartado num aterro sanitário a cada segundo [1]. Não só as indústrias precisam de reformular os seus processos para circularizar as suas cadeias de valor e promover ações sustentáveis, mas também os consumidores precisam de participar do processo de manter os produtos no círculo da cadeia de valor, pois cabe a eles decidir o destino final de um produto vestuário aquando o seu fim da vida útil. Com estas questões em mente, esta dissertação visa desenvolver duas soluções que possam mitigar os problemas a cima mencionados e promover ações sustentáveis rumo a uma economia circular na cadeia de valor do têxtil e vestuário. Uma solução business-to-business baseada em smart contracts do Hyperledger Fabric para gerir a cadeia de valor do têxtil e vestuário com funcionalidade de rastreabilidade foi desenvolvida como prova de conceito para apoiar as reivindicações de sustentabilidade dos participantes na cadeia de valor, da fibra à peça final de vestuário. A actual funcionabilidade de rastreabilidade desenvolvida no smart contract fornece aos operadores da cadeia de valor a capacidade de rastrear um lote até à sua origem, contudo, também limita a escalabilidade devido ao aumento exponencial do tamanho do bloco, especialmente se considerarmos uma cadeia de valor circular. Para os consumidores, foi proposta uma aplicação descentralizada business-to-consumer-to-consumer com elementos de eco-gamificação para promover o envolvimento e motivação do utilizador para a realização de tarefas que contribuam para a adoção de uma economia circular na cadeia de valor do têxtil e vestuário. Após testar a usabilidade da aplicação com o questionário AttrakDiff, concluiu-se que o sistema precisa de focar a sua usabilidade em prol de um produto orientado à tarefa em vez da orientação pessoal atual da aplicação a fim de promover ações que contribuam para a economia circular da cadeia de valor do têxtil e vestuário.In today’s society, Textile and Clothing (T&C) is one of the biggest market sectors world wide.The sheer size and fast growth of this industry is having unprecedented impacts on sustainability, accounting for negative environmental, social and health consequences. The fast-fashion trends along side the lack of transparency in the global T&C value chain add up to unfavorable scenarios for the world as the increas- ing levels of pollution and resource consumption within the value chain reach historic highs with every year that passes. The lifecycle of a clothing item needs to adapt to a regenerative economic model instead of a linear one that ends up in the equivalent of a garbage truck full of textiles being disposed into a landfill every second [1]. Not only do the industries need to revamp their processes to circularize their value chains and promote sustainable actions, but the consumers also need to partake in the process of keeping the products in the value chain loop as it is up to them to make the final decision upon the end-of-life of an item of clothing. With these issues in mind,this dissertation aims to develop two solutions that can mitigate the aforementioned problems and promote sustainable actions towards a circular economy in the T&C value chain. A Proof-of-Concept (PoC) Business-to-Business (B2B) T&C value chainmanagement smart contract solution builton Hyperledger Fabric with traceability features was developed to support the sustainability claims of participants in the value chain, from fiber to garment. The current traceability feature developed into the smart contract provides value chain operators the capabilities to trace a batch back to its origin, however, it also constraints scalability due to the exponential in crease in block size specially if considering a circular value chain. For the consumers, a Business-to-Consumer-to-Consumer (B2C2C) Decentralized Application (DApp) was proposed with eco-gamification elements fo rpromoting the user’s engagement and motivation to complete tasks that contribute for the adoption of a circular economy in the T&C value chain. After testing the consumer DApp’s usability with the AttrakDiff survey, it was concluded that the system needs to focus it susability towards a task-oriented product instead of the current self-oriented results in order to promote actions that contribute to the circular economy of the T&C value chain

A Customizable Conflict Resolution and Attribute-Based Access Control Framework for Multi-Robot Systems

As multi-robot systems continue to advance and become integral to various applications, managing conflicts and ensuring secure access control are critical challenges that need to be addressed. Access control is essential in multi-robot systems to ensure secure and authorized interactions among robots, protect sensitive data, and prevent unauthorized access to resources. This paper presents a novel framework for customizable conflict resolution and attribute-based access control in multi-robot systems for ROS 2 leveraging the Hyperledger Fabric blockchain. We introduce an attribute-based access control (ABAC) Fabric-ROS 2 bridge to enable secure communication and control between users and robots. By defining conflict resolution policies based on task priorities, robot capabilities, and user-defined constraints, our framework offers a flexible way to resolve conflicts. Additionally, it incorporates attribute-based access control, granting access rights based on user and robot attributes. ABAC offers a modular approach to control access compared to existing access control approaches in ROS 2, such as SROS2. Through this framework, multi-robot systems can be managed efficiently, securely, and adaptably, ensuring controlled access to resources and managing conflicts. Our experimental evaluation shows that our framework marginally improves latency and throughput over exiting Fabric and ROS 2 integration solutions. At higher network load, it is the only solution to operate reliably without a diverging transaction commitment latency. We also demonstrate how conflicts arising from simultaneous control or a robot by two users are resolved in real-time and motion distortion is effectively eliminated

Post-quantum blockchain for internet of things domain

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonIn the evolving realm of quantum computing, emerging advancements reveal substantial challenges and threats to existing cryptographic infrastructures, particularly impacting blockchain technologies. These are pivotal for securing the Internet of Things (IoT) ecosystems. The traditional blockchain structures, integral to myriad IoT applications, are susceptible to potential quantum computations, emphasizing an urgent need for innovations in post-quantum blockchain solutions to reinforce security in the expansive domain of IoT. This PhD thesis delves into the crucial exploration and meticulous examination of the development and implementation of post-quantum blockchain within the IoT landscape, focusing on the incorporation of advanced post-quantum cryptographic algorithms in Hyperledger Fabric, a forefront blockchain platform renowned for its versatility and robustness. The primary aim is to discern viable post-quantum cryptographic solutions capable of fortifying blockchain systems against impending quantum threats enhancing security and reliability in IoT applications. The research comprehensively evaluates various post-quantum public-key generation and digital signature algorithms, performing detailed analyses of their computational time and memory usage to identify optimal candidates. Furthermore, the thesis proposes an innovative lattice-based digital signature scheme Fast-Fourier Lattice-based Compact Signature over NTRU (Falcon), which leverages the Monte Carlo Markov Chain (MCMC) algorithm as a trapdoor sampler to augment its security attributes. The research introduces a post-quantum version of the Hyperledger Fabric blockchain that integrates post-quantum signatures. The system utilizes the Open Quantum Safe (OQS) library, rigorously tested against NIST round 3 candidates for optimal performance. The study highlights the capability to manage IoT data securely on the post-quantum Hyperledger Fabric blockchain through the Message Queue Telemetry Transport (MQTT) protocol. Such a configuration ensures safe data transfer from IoT sensors directly to the blockchain nodes, securing the processing and recording of sensor data within the node ledger. The research addresses the multifaceted challenges of quantum computing advancements and significantly contributes to establishing secure, efficient, and resilient post-quantum blockchain infrastructures tailored explicitly for the IoT domain. These findings are instrumental in elevating the security paradigms of IoT systems against quantum vulnerabilities and catalysing innovations in post-quantum cryptography and blockchain technologies. Furthermore, this thesis introduces strategies for the optimization of performance and scalability of post-quantum blockchain solutions and explores alternative, energy-efficient consensus mechanisms such as the Raft and Stellar Consensus Protocol (SCP), providing sustainable alternatives to the conventional Proof-of-Work (PoW) approach. A critical insight emphasized throughout this thesis is the imperative of synergistic collaboration among academia, industry, and regulatory bodies. This collaboration is pivotal to expedite the adoption and standardization of post-quantum blockchain solutions, fostering the development of interoperable and standardized technologies enriched with robust security and privacy frameworks for end users. In conclusion, this thesis furnishes profound insights and substantial contributions to implementing post-quantum blockchain in the IoT domain. It delineates original contributions to the knowledge and practices in the field, offering practical solutions and advancing the state-of-the-art in post-quantum cryptography and blockchain research, thereby paving the way for a secure and resilient future for interconnected IoT systems

Managing IOT Data on Hyperledger Blockchain

Blockchain is a rapidly evolving technology known for its security, immutability and decentralized nature. At its heart, it’s used for storing various kinds of data like transactions. But it is not limited to just the transactions or the cryptocurrency. It can also be used to store many other things like assets, IoT data or even multimedia data like songs, pictures, and videos. The number of IoT devices being connected to the internet is increasing day by day. In fact, Garter (Analyst Firm) predicts there will be 20.4 Billion IoT devices by the end of 2020 [IOTb]. With the increase in the number of IoT devices, there will be an increase in the amount of data they generate. Managing this huge data efficiently so that its available to every authorized user without any integrity loss will be very pivotal in the near future. HyperLedger is an open source project hosted by Linux Foundation. There are a lot of sub projects that come under the umbrella of HyperLedger consortia like HyperLedger Fabric, Indy, Composer and many more. HyperLedger Fabric is one of the projects initially developed by IBM and later contributed to HyperLedger. It allows us to develop private permissioned Blockchain following the best in industry standards and algorithms. In this thesis, we are managing IoT data on the HyperLedger Fabric Blockchain. We will be collecting data from the IoT sensors and securely transmitting it to our node running the HyperLedger Blockchain using the MQTT protocol. After receiving data from the sensor we will process the data and add it to our ledger. We also evaluate the performance of our network taking various parameters like batch timeout, batch size, and message count into consideration

Hyperledger Fabric:Evaluating Endorsement Policy Strategies in Supply Chains

Hyperledger Fabric is a permissioned blockchain solution, in which network participation is controlled by predefined rules. This makes it an attractive platform for enterprise settings. In Fabric, endorsement policies are used to specify the peers that must confirm a transaction before it can be considered as valid and appended to the ledger. This work examines various implications of Fabric's endorsement policy component, for which different endorsement policy strategies (and subsequent trade-offs) are evaluated by modeling two real-world supply chain case studies. This work discusses how vulnerable endorsement policies can lead to admitting inauthentic data on the ledger. To address this issue, several approaches are proposed to balance integrity with limited disclosure of confidential information, with or without hosting a network peer directly. Furthermore, the concept of multi-tenancy in blockchain networks is introduced as a way of reducing the technological barrier in technology adoption

BAT: block analytics tool integrated with blockchain based IoT platform

The Internet of Things (IoT) is currently the paradigm of connectivity and driving force behind the state-of-art applications and services. However, the exponential growth of the number of IoT devices and services, their distributed nature, and scarcity of resources has increased the number of security and privacy concerns ranging from the risks of unauthorized data alterations to the potential discrimination enabled by data analytics over sensitive information. A blockchain based IoT-platform is introduced to address these issues. Built upon the tamper-proof architecture, the access management mechanisms ensure the authenticity and integrity of data. Moreover, a novel approach called Block Analytics Tool (BAT), integrated with the platform is proposed to analyze and make predictions on data stored on blockchain. BAT enables the data-analysis applications to be developed using the data stored in the platform in an optimized manner acting as an interface to off-chain processing. A pharmaceutical supply chain is the use case scenario to show the functionality of the proposed platform. Furthermore, a model to forecast the demand of the pharmaceutical drugs is investigated using a real-world data set to demonstrate the functionality of BAT. Finally, the performance of BAT integrated with the platform is evaluated

Data trust framework using blockchain and smart contracts

Lack of trust is the main barrier preventing more widespread data sharing. The lack of transparent and reliable infrastructure for data sharing prevents many data owners from sharing their data. Data trust is a paradigm that facilitates data sharing by forcing data controllers to be transparent about the process of sharing and reusing data. Blockchain technology has the potential to present the essential properties for creating a practical and secure data trust framework by transforming current auditing practices and automatic enforcement of smart contracts logic without relying on intermediaries to establish trust. Blockchain holds an enormous potential to remove the barriers of traditional centralized applications and propose a distributed and transparent administration by employing the involved parties to maintain consensus on the ledger. Furthermore, smart contracts are a programmable component that provides blockchain with more flexible and powerful capabilities. Recent advances in blockchain platforms toward smart contracts' development have revealed the possibility of implementing blockchain-based applications in various domains, such as health care, supply chain and digital identity. This dissertation investigates the blockchain's potential to present a framework for data trust. It starts with a comprehensive study of smart contracts as the main component of blockchain for developing decentralized data trust. Interrelated, three decentralized applications that address data sharing and access control problems in various fields, including healthcare data sharing, business process, and physical access control system, have been developed and examined. In addition, a general-purpose application based on an attribute-based access control model is proposed that can provide trusted auditability required for data sharing and access control systems and, ultimately, a data trust framework. Besides auditing, the system presents a transparency level that both access requesters (data users) and resource owners (data controllers) can benefit from. The proposed solutions have been validated through a use case of independent digital libraries. It also provides a detailed performance analysis of the system implementation. The performance results have been compared based on different consensus mechanisms and databases, indicating the system's high throughput and low latency. Finally, this dissertation presents an end-to-end data trust framework based on blockchain technology. The proposed framework promotes data trustworthiness by assessing input datasets, effectively managing access control, and presenting data provenance and activity monitoring. A trust assessment model that examines the trustworthiness of input data sets and calculates the trust value is presented. The number of transaction validators is defined adaptively with the trust value. This research provides solutions for both data owners and data users’ by ensuring the trustworthiness and quality of the data at origin and transparent and secure usage of the data at the end. A comprehensive experimental study indicates the presented system effectively handles a large number of transactions with low latency

Modeling a Consortium-based Distributed Ledger Network with Applications for Intelligent Transportation Infrastructure

Emerging distributed-ledger networks are changing the landscape for environments of low trust among participating entities. Implementing such technologies in transportation infrastructure communications and operations would enable, in a secure fashion, decentralized collaboration among entities who do not fully trust each other. This work models a transportation records and events data collection system enabled by a Hyperledger Fabric blockchain network and simulated using a transportation environment modeling tool. A distributed vehicle records management use case is shown with the capability to detect and prevent unauthorized vehicle odometer tampering. Another use case studied is that of vehicular data collected during the event of an accident. It relies on broadcast data collected from the Vehicle Ad-hoc Network (VANET) and submitted as witness reports from nearby vehicles or road-side units who observed the event taking place or detected misbehaving activity by vehicles involved in the accident. Mechanisms for the collection, validation, and corroboration of the reported data which may prove crucial for vehicle accident forensics are described and their implementation is discussed. A performance analysis of the network under various loads is conducted with results suggesting that tailored endorsement policies are an effective mechanism to improve overall network throughput for a given channel. The experimental testbed shows that Hyperledger Fabric and other distributed ledger technologies hold promise for the collection of transportation data and the collaboration of applications and services that consume it

Blockchain for agriculture and food : Findings from the pilot study

This report documents experiences and findings from the public private partnership (PPP) project ‘Blockchain for Agrifood’ that was started in March 2017. The project aims to contribute to a better understanding of the blockchain technology (BCT) and its implications for agrifood, especially how it can impact specific aspects of supply chains and what is needed to apply BCT in agrifood chains. A second aim of this project is to conceptualise and develop a proof of concept in an application based on a use case concerning table grapes from South Africa where BCT could be applied. This has been done by building a demonstrator that keeps track of different certificates involved in the table grapes supply chain. The code of this demonstrator is published at Github. Furthermore, the project explored issues regarding the relevance, applicability and implications of BCT for the agrifood sector through literature study and stakeholder consultation

Blockchain and Property Technology

Blockchain technology has emerged as a revolutionary force in the real estate sector, promis ing transformative changes in how properties are bought, sold, and managed. This study delves into the integration of blockchain in real estate, emphasizing the development and testing of a practical proof-of-concept application. The research, undertaken during an internship at DevScope, critically examines the potential of blockchain to enhance trans parency, security, and efficiency in managing exclusivity contracts. The research starts with a comprehensive review of blockchain literature, exploring its diverse applications within the real estate industry. It delves into the intricacies of challenges faced and opportunities presented during the implementation of blockchain technology in this context. Through rigorous analysis, the study assesses the profound impact of blockchain on the real estate landscape, elucidating the multifaceted benefits and challenges inherent in deploying blockchain-based solutions. Furthermore, this research not only contributes valuable insights to the ongoing discourse surrounding blockchain in real estate but also presents practical implications. The findings are poised to inform strategic decisions, providing DevScope with a nuanced perspective on integrating blockchain technology into their products. Specifically, this study evaluates the feasibility of incorporating a blockchain-based solution into MaxWork, one of DevScope’s products, thereby paving the way for innovative advancements within the realm of Multiple Listing Service solutions.A tecnologia Blockchain emergiu como uma força revolucionária no setor imobiliário, prom etendo mudanças na forma como as propriedades são transacionadas e geridas. Este estudo explora a integração da blockchain no setor imobiliário, a partir do desenvolvimento de uma aplicação de prova de conceito. A pesquisa, realizada durante um estágio na DevScope, examina o potencial da Blockchain para melhorar a transparência, segurança e eficiência nas transações imobiliárias. A pesquisa inicia-se com uma revisão da literatura sobre Blockchain e Distributed Ledger Technology (DLT), explorando as diversas aplicações dentro da indústria imobiliária. O estudo avalia o impacto da blockchain no cenário imobiliário, elucidando os benefícios e desafios inerentes à implementação de soluções baseadas em Blockchain. Além disso, esta pesquisa não só contribui com insights valiosos para o contínuo debate sobre Blockchain no setor imobiliário, como também apresenta implicações práticas. As descobertas deste estudo proporcionam à DevScope uma perspectiva detalhada sobre a integração da tecnologia Blockchain. Especificamente, este estudo avalia a viabilidade de incorporar uma solução baseada em Blockchain no MaxWork, um dos principais produtos da DevScope, abrindo caminho para avanços inovadores no âmbito dos Multiple Listing Services (MLS)