7,644 research outputs found
Advanced Drone Swarm Security by Using Blockchain Governance Game
This research contributes to the security design of an advanced smart drone
swarm network based on a variant of the Blockchain Governance Game (BGG), which
is the theoretical game model to predict the moments of security actions before
attacks, and the Strategic Alliance for Blockchain Governance Game (SABGG),
which is one of the BGG variants which has been adapted to construct the best
strategies to take preliminary actions based on strategic alliance for
protecting smart drones in a blockchain-based swarm network. Smart drones are
artificial intelligence (AI)-enabled drones which are capable of being operated
autonomously without having any command center. Analytically tractable
solutions from the SABGG allow us to estimate the moments of taking preliminary
actions by delivering the optimal accountability of drones for preventing
attacks. This advanced secured swarm network within AI-enabled drones is
designed by adapting the SABGG model. This research helps users to develop a
new network-architecture-level security of a smart drone swarm which is based
on a decentralized network.Comment: Song-Kyoo Kim, Advanced Drone Swarm Security by Using Blockchain
Governance Game, Mathematics 10:18 (2022), 333
Oceanic Games: Centralization Risks and Incentives in Blockchain Mining
To participate in the distributed consensus of permissionless blockchains,
prospective nodes -- or miners -- provide proof of designated, costly
resources. However, in contrast to the intended decentralization, current data
on blockchain mining unveils increased concentration of these resources in a
few major entities, typically mining pools. To study strategic considerations
in this setting, we employ the concept of Oceanic Games, Milnor and Shapley
(1978). Oceanic Games have been used to analyze decision making in corporate
settings with small numbers of dominant players (shareholders) and large
numbers of individually insignificant players, the ocean. Unlike standard
equilibrium models, they focus on measuring the value (or power) per entity and
per unit of resource} in a given distribution of resources. These values are
viewed as strategic components in coalition formations, mergers and resource
acquisitions. Considering such issues relevant to blockchain governance and
long-term sustainability, we adapt oceanic games to blockchain mining and
illustrate the defined concepts via examples. The application of existing
results reveals incentives for individual miners to merge in order to increase
the value of their resources. This offers an alternative perspective to the
observed centralization and concentration of mining power. Beyond numerical
simulations, we use the model to identify issues relevant to the design of
future cryptocurrencies and formulate prospective research questions.Comment: [Best Paper Award] at the International Conference on Mathematical
Research for Blockchain Economy (MARBLE 2019
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
- …