Ownership preserving AI Market Places using Blockchain

We present a blockchain based system that allows data owners, cloud vendors, and AI developers to collaboratively train machine learning models in a trustless AI marketplace. Data is a highly valued digital asset and central to deriving business insights. Our system enables data owners to retain ownership and privacy of their data, while still allowing AI developers to leverage the data for training. Similarly, AI developers can utilize compute resources from cloud vendors without loosing ownership or privacy of their trained models. Our system protocols are set up to incentivize all three entities - data owners, cloud vendors, and AI developers to truthfully record their actions on the distributed ledger, so that the blockchain system provides verifiable evidence of wrongdoing and dispute resolution. Our system is implemented on the Hyperledger Fabric and can provide a viable alternative to centralized AI systems that do not guarantee data or model privacy. We present experimental performance results that demonstrate the latency and throughput of its transactions under different network configurations where peers on the blockchain may be spread across different datacenters and geographies. Our results indicate that the proposed solution scales well to large number of data and model owners and can train up to 70 models per second on a 12-peer non optimized blockchain network and roughly 30 models per second in a 24 peer network

Lightweight Blockchain Framework for Location-aware Peer-to-Peer Energy Trading

Peer-to-Peer (P2P) energy trading can facilitate integration of a large number of small-scale producers and consumers into energy markets. Decentralized management of these new market participants is challenging in terms of market settlement, participant reputation and consideration of grid constraints. This paper proposes a blockchain-enabled framework for P2P energy trading among producer and consumer agents in a smart grid. A fully decentralized market settlement mechanism is designed, which does not rely on a centralized entity to settle the market and encourages producers and consumers to negotiate on energy trading with their nearby agents truthfully. To this end, the electrical distance of agents is considered in the pricing mechanism to encourage agents to trade with their neighboring agents. In addition, a reputation factor is considered for each agent, reflecting its past performance in delivering the committed energy. Before starting the negotiation, agents select their trading partners based on their preferences over the reputation and proximity of the trading partners. An Anonymous Proof of Location (A-PoL) algorithm is proposed that allows agents to prove their location without revealing their real identity. The practicality of the proposed framework is illustrated through several case studies, and its security and privacy are analyzed in detail

Sustainable Development Report: Blockchain, the Web3 & the SDGs

This is an output paper of the applied research that was conducted between July 2018 - October 2019 funded by the Austrian Development Agency (ADA) and conducted by the Research Institute for Cryptoeconomics at the Vienna University of Economics and Business and RCE Vienna (Regional Centre of Expertise on Education for Sustainable Development).Series: Working Paper Series / Institute for Cryptoeconomics / Interdisciplinary Researc

Sustainable Development Report: Blockchain, the Web3 & the SDGs

This is an output paper of the applied research that was conducted between July 2018 - October 2019 funded by the Austrian Development Agency (ADA) and conducted by the Research Institute for Cryptoeconomics at the Vienna University of Economics and Business and RCE Vienna (Regional Centre of Expertise on Education for Sustainable Development).Series: Working Paper Series / Institute for Cryptoeconomics / Interdisciplinary Researc

Advances in the Convergence of Blockchain and Artificial Intelligence

Blockchain (BC) and artificial intelligence (AI) are currently two of the hottest computer science topics and their future seems bright. However, their convergence is not straightforward, and more research is needed in both fields. Thus, this book presents some of the latest advances in the convergence of BC and AI, gives useful guidelines for future researchers on how BC can help AI and how AI can become smarter, thanks to the use of BC. This book specifically analyzes the past of BC through the history of Bitcoin and then looks into the future: from massive internet-of-things (IoT) deployments, to the so-called metaverse, and to the next generation of AI-powered BC-based cyber secured applications

Blockchain technologies and forensic challenges: Emergent potential and diverging affordances

Blockchain technologies (BT) have provided unique affordances for decentralisation, peer-to-peer collaboration, and relative privacy. Such affordances have manifested benefits in a wide range of domains, including in value storage and transfer instruments like cryptocurrencies. However, this has made them attractive to cybercriminals, seeking to leverage cryptocurrencies for illicit activities and transactions, which pose substantive challenges for forensic investigators. These challenges span the identification of perpetrators, the increasingly multi-jurisdictional nature of cybercrime, and legal and digital divides. Conversely, blockchains provide novel opportunities for forensic investigators and law enforcement agencies. This paper addresses emergent forensic challenges posed by BT along with opportunities for law enforcement. It highlights a divergence between BT used by criminals, and those heralded for law enforcement. This calls for explicit reconsideration of blockchain technologies proposed in scholarly literature as BT could be deployed through a multitude of architectures, each with its own unique affordances

FinBook: literary content as digital commodity

This short essay explains the significance of the FinBook intervention, and invites the reader to participate. We have associated each chapter within this book with a financial robot (FinBot), and created a market whereby book content will be traded with financial securities. As human labour increasingly consists of unstable and uncertain work practices and as algorithms replace people on the virtual trading floors of the worlds markets, we see members of society taking advantage of FinBots to invest and make extra funds. Bots of all kinds are making financial decisions for us, searching online on our behalf to help us invest, to consume products and services. Our contribution to this compilation is to turn the collection of chapters in this book into a dynamic investment portfolio, and thereby play out what might happen to the process of buying and consuming literature in the not-so-distant future. By attaching identities (through QR codes) to each chapter, we create a market in which the chapter can ‘perform’. Our FinBots will trade based on features extracted from the authors’ words in this book: the political, ethical and cultural values embedded in the work, and the extent to which the FinBots share authors’ concerns; and the performance of chapters amongst those human and non-human actors that make up the market, and readership. In short, the FinBook model turns our work and the work of our co-authors into an investment portfolio, mediated by the market and the attention of readers. By creating a digital economy specifically around the content of online texts, our chapter and the FinBook platform aims to challenge the reader to consider how their personal values align them with individual articles, and how these become contested as they perform different value judgements about the financial performance of each chapter and the book as a whole. At the same time, by introducing ‘autonomous’ trading bots, we also explore the different ‘network’ affordances that differ between paper based books that’s scarcity is developed through analogue form, and digital forms of books whose uniqueness is reached through encryption. We thereby speak to wider questions about the conditions of an aggressive market in which algorithms subject cultural and intellectual items – books – to economic parameters, and the increasing ubiquity of data bots as actors in our social, political, economic and cultural lives. We understand that our marketization of literature may be an uncomfortable juxtaposition against the conventionally-imagined way a book is created, enjoyed and shared: it is intended to be

Non-fungible tokens (NFTS) and their security challenges

The Non-Fungible Token (NFT) market has been exploding in the past years. The notion of NFT originated with Ethereum's token standard, which aimed to differentiate each token using distinguishing signals. Tokens of this type can be associated with virtual or digital properties to serve as unique identifiers. Using NFTs Non-Fungible Token (NFT) is a new technology gaining traction in the Blockchain industry. In this article, we examine state-of the art NFT systems that have the potential to reshape the market for digital virtual assets. We will assess the security of existing NFT systems and expand on the opportunities and prospective uses for the NFT idea. Finally, we discuss existing research challenges that must be overcome before mass-market penetration may occur. We hope that this paper provides an up-to-date analysis and summary of existing and proposed solutions and projects, making it easier for newcomers to stay current.Fonksuz Belirteç (NFT) pazarı son yıllarda patlama yapıyor. NFT'nin nosyonu Ethereum'un belirteç standardıyla ortaya çıkmıştır ve bu durum, her belirteci ayırt edici sinyaller kullanarak ayırt etmeyi amaçlamaktadır. Bu tipteki belirteçler, benzersiz tanımlayıcılar olarak hizmet vermek için sanal veya dijital özelliklerle ilişkilendirilebilir. NFTS Non-Fungible Token (NFT) kullanmak, Blockchain endüstrisinde yeni bir teknoloji kazanıyor. Bu makalede, dijital sanal varlıklar için pazarı yeniden şekillendirme potansiyeline sahip son teknoloji ürünü NFT sistemlerini inceliyoruz. Mevcut NFT sistemlerinin güvenliğini değerlendirecek ve NFT fikri için fırsatları ve olası kullanımları genişleteceğiz. Son olarak, kitle pazara giriş gerçekleşmeden önce aşılması gereken mevcut araştırma zorluklarını ele alıyoruz. Bu incelemede, mevcut ve önerilen çözüm ve projelerin güncel bir analizi ve özeti sağlanarak, yeni gelenlerin güncel kalmasını kolaylaştırılmasını umuyoruz.No sponso