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ARK Whitepaper
ARK Whitepaper A Platform for Consumer Adoption v.1.0.3 The ARK Crew ARK Whitepaper v.1.0.3 Table Of Contents Overview………………………………………………………………...……………………………….……………….………………………………………………………….….3 Purpose of this Whitepaper………………………………………………………………………………………………………………………..….……….3 Why?…………………………………………………………………………………………………………………….…………………………………………………….…………..4 ARK…………………………………………………………………………………………………….……………….…………………………………………………………………..5 ARK IS………………………………………………………………………………………………....……………….………………………………………………………………..5 ARK: Technical Details……………………………………….…….…..…………………………...……………….………………...…………………………...6 - Delegated Proof of Stake…………………………….……………...………………………….……………………………………….………...…...6 - Hierarchical Deterministic (HD) Wallets (BIP32)…………………………………………………….....…………………..…..8 - Fees……………………………………………………………………………………………………………….……………….…...………………………………..……...8 - ARK Delegates and Delegate Voting.…………………………………………………………………………………...………………….9 - Bridged Blockchains (SmartBridges)....................………………………………………………………………….………...…….10 - POST ARK-TEC Token Distribution …………………..…………………………………….………………….………..……..…..……….11 - Testnet Release……………………………………………….…………………………………………………………………….………...….....12 And Beyond?…………………………………………………………………….………...……………………………………….………………………...……….…12 Addendum 1: ARK IS…(Cont.)...……..……..…………....…..………...………………………………………...………………………......……12 -
IPFS and Friends: a Qualitative Comparison of Next Generation Peer-To-Peer Data Networks Erik Daniel and Florian Tschorsch
1 IPFS and Friends: A Qualitative Comparison of Next Generation Peer-to-Peer Data Networks Erik Daniel and Florian Tschorsch Abstract—Decentralized, distributed storage offers a way to types of files [1]. Napster and Gnutella marked the beginning reduce the impact of data silos as often fostered by centralized and were followed by many other P2P networks focusing on cloud storage. While the intentions of this trend are not new, the specialized application areas or novel network structures. For topic gained traction due to technological advancements, most notably blockchain networks. As a consequence, we observe that example, Freenet [2] realizes anonymous storage and retrieval. a new generation of peer-to-peer data networks emerges. In this Chord [3], CAN [4], and Pastry [5] provide protocols to survey paper, we therefore provide a technical overview of the maintain a structured overlay network topology. In particular, next generation data networks. We use select data networks to BitTorrent [6] received a lot of attention from both users and introduce general concepts and to emphasize new developments. the research community. BitTorrent introduced an incentive Specifically, we provide a deeper outline of the Interplanetary File System and a general overview of Swarm, the Hypercore Pro- mechanism to achieve Pareto efficiency, trying to improve tocol, SAFE, Storj, and Arweave. We identify common building network utilization achieving a higher level of robustness. We blocks and provide a qualitative comparison. From the overview, consider networks such as Napster, Gnutella, Freenet, BitTor- we derive future challenges and research goals concerning data rent, and many more as first generation P2P data networks, networks. -
A Decentralized Cloud Storage Network Framework
Storj: A Decentralized Cloud Storage Network Framework Storj Labs, Inc. October 30, 2018 v3.0 https://github.com/storj/whitepaper 2 Copyright © 2018 Storj Labs, Inc. and Subsidiaries This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 license (CC BY-SA 3.0). All product names, logos, and brands used or cited in this document are property of their respective own- ers. All company, product, and service names used herein are for identification purposes only. Use of these names, logos, and brands does not imply endorsement. Contents 0.1 Abstract 6 0.2 Contributors 6 1 Introduction ...................................................7 2 Storj design constraints .......................................9 2.1 Security and privacy 9 2.2 Decentralization 9 2.3 Marketplace and economics 10 2.4 Amazon S3 compatibility 12 2.5 Durability, device failure, and churn 12 2.6 Latency 13 2.7 Bandwidth 14 2.8 Object size 15 2.9 Byzantine fault tolerance 15 2.10 Coordination avoidance 16 3 Framework ................................................... 18 3.1 Framework overview 18 3.2 Storage nodes 19 3.3 Peer-to-peer communication and discovery 19 3.4 Redundancy 19 3.5 Metadata 23 3.6 Encryption 24 3.7 Audits and reputation 25 3.8 Data repair 25 3.9 Payments 26 4 4 Concrete implementation .................................... 27 4.1 Definitions 27 4.2 Peer classes 30 4.3 Storage node 31 4.4 Node identity 32 4.5 Peer-to-peer communication 33 4.6 Node discovery 33 4.7 Redundancy 35 4.8 Structured file storage 36 4.9 Metadata 39 4.10 Satellite 41 4.11 Encryption 42 4.12 Authorization 43 4.13 Audits 44 4.14 Data repair 45 4.15 Storage node reputation 47 4.16 Payments 49 4.17 Bandwidth allocation 50 4.18 Satellite reputation 53 4.19 Garbage collection 53 4.20 Uplink 54 4.21 Quality control and branding 55 5 Walkthroughs ............................................... -
How to Invest in Filecoin
How to Invest in Filecoin Part I: Preparing to Invest Filecoin investments will be made on CoinList (coinlist.co), a US-based funding platform that connects investors to promising early-stage token sales. Created by Protocol Labs in partnership with AngelList, CoinList simplifies the token sale process and implements robust legal frameworks for token sales in the U.S. Before the sale begins, you will need to complete several preparation steps. Note that some steps include wait time of several days. For this reason, we recommend getting started as soon as possible and working in parallel while waiting for other steps to be reviewed or confirmed. Step 1: Create a CoinList account (5 min) Visit https://coinlist.co. Sign in with your AngelList account, or create a new account if needed. Step 2: Become a US accredited investor through AngelList (30 min + 1-3 day review) All token investors will need to meet US accredited investor requirements. Non-US investors can invest, but must meet the same requirements. You will be prompted to submit accreditation evidence. Step 3: Submit information for KYC/AML checks (15 min + instant review if no issues) You will be prompted to submit the details required for KYC/AML (Know Your Customer/Anti-Money Laundering) checks as soon as accreditation evidence has been submitted. You do not need to wait until accreditation review is complete. Step 4: Transfer funds to relevant accounts (10min + 1-5 day wait) You can invest with your choice of the following currencies: US Dollars, Bitcoin, Ether, and Zcash. To invest using US Dollars: Go to https://coinlist.co/settings/wallet. -
Filecoin Token Sale Economics
Filecoin Token Sale Economics This document describes various aspects of the Filecoin Network, the Filecoin Token Sale, and the economics of both. Any updates to this document will be posted on the CoinList webpage for the Filecoin Token Sale: https://coinlist.co/currencies/filecoin. LEGAL DISCLAIMER: This document contains forward-looking statements, subject to risks and uncertainties that could cause actual results to differ materially. 1. Token Allocation The Filecoin Token will be distributed to the 4 major participating groups in the Filecoin Network. This allocation is written into the protocol itself and the Filecoin blockchain’s Genesis block. Each group is critical to the network’s creation, development, growth, and maintenance: ● 70% to Filecoin Miners (Mining block reward) For providing data storage service, maintaining the blockchain, distributing data, running contracts, and more. ● 15% to Protocol Labs (Genesis allocation, 6-year linear vesting) For research, engineering, deployment, business development, marketing, distribution, and more. ● 10% to Investors (Genesis allocation, 6 month to 3 year linear vesting) For funding network development, business development, partnerships, support, and more. ● 5% to Filecoin Foundation (Genesis allocation, 6-year linear vesting) For long-term network governance, partner support, academic grants, public works, community building, et cetera. 2. The Filecoin Token Sale Fundraising. Protocol Labs requires significant funding to develop, launch, and grow the Filecoin network. We must develop all the software required: the mining software, the client software, user interfaces and apps, network infrastructure and monitoring, software that third-party wallets and exchanges need to support Filecoin, integrations with other data storage software, tooling for web applications and dapps to use Filecoin, and much more. -
The Book of Swarm Storage and Communication Infrastructure for Self-Sovereign Digital Society Back-End Stack for the Decentralised Web
the book of Swarm storage and communication infrastructure for self-sovereign digital society back-end stack for the decentralised web Viktor Trón v1.0 pre-release 7 - worked on November 17, 2020 the swarm is headed toward us Satoshi Nakamoto ii CONTENTS Prolegomena xi Acknowledgments xii i prelude 1 the evolution2 1.1 Historical context 2 1.1.1 Web 1.02 1.1.2 Web 2.03 1.1.3 Peer-to-peer networks 6 1.1.4 The economics of BitTorrent and its limits 7 1.1.5 Towards Web 3.08 1.2 Fair data economy 12 1.2.1 The current state of the data economy 12 1.2.2 The current state and issues of data sovereignty 13 1.2.3 Towards self-sovereign data 15 1.2.4 Artificial intelligence and self-sovereign data 16 1.2.5 Collective information 17 1.3 The vision 18 1.3.1 Values 18 1.3.2 Design principles 19 1.3.3 Objectives 19 1.3.4 Impact areas 20 1.3.5 The future 21 ii design and architecture 2 network 25 2.1 Topology and routing 25 2.1.1 Requirements for underlay network 25 2.1.2 Overlay addressing 26 2.1.3 Kademlia routing 27 2.1.4 Bootstrapping and maintaining Kademlia topology 32 2.2 Swarm storage 35 2.2.1 Distributed immutable store for chunks 35 2.2.2 Content addressed chunks 38 2.2.3 Single-owner chunks 41 2.2.4 Chunk encryption 42 2.2.5 Redundancy by replication 43 2.3 Push and pull: chunk retrieval and syncing 47 iii 2.3.1 Retrieval 47 2.3.2 Push syncing 51 2.3.3 Pull syncing 53 2.3.4 Light nodes 55 3 incentives 57 3.1 Sharing bandwidth 58 3.1.1 Incentives for serving and relaying 58 3.1.2 Pricing protocol for chunk retrieval 59 3.1.3 Incentivising push-syncing -
An Architecture for Client Virtualization: a Case Study
Computer Networks 100 (2016) 75–89 Contents lists available at ScienceDirect Computer Networks journal homepage: www.elsevier.com/locate/comnet An architecture for client virtualization: A case study ∗ Syed Arefinul Haque a, Salekul Islam a, , Md. Jahidul Islam a, Jean-Charles Grégoire b a United International University, Dhaka, Bangladesh b INRS-EMT, Montréal, Canada a r t i c l e i n f o a b s t r a c t Article history: As edge clouds become more widespread, it is important to study their impact on tradi- Received 30 November 2015 tional application architectures, most importantly the separation of the data and control Revised 17 February 2016 planes of traditional clients. We explore such impact using the virtualization of a Peer- Accepted 18 February 2016 to-Peer (P2P) client as a case study. In this model, an end user accesses and controls the Available online 26 February 2016 virtual P2P client application using a web browser and all P2P application-related control Keywords: messages originate and terminate from the virtual P2P client deployed inside the remote Edge cloud server. The web browser running on the user device only manages download and upload of P2P the P2P data packets. BitTorrent, as it is the most widely deployed P2P platform, is used to BitTorrent validate the feasibility and study the performance of our approach. We introduce a proto- Virtual client type that has been deployed in public cloud infrastructures. We present simulation results Cloud-based server which show clear improvements in the use of user resources. Based on this experience we Web-RTC derive lessons on the challenges and benefits from such edge cloud-based deployments. -
A Privacy-Preserving Decentralized Storage with Payments Based on a Blockchain
A Privacy-preserving Decentralized Storage with Payments Based on a Blockchain Dissertation zur Erlangung des Doktorgrades Dr. rer. nat. der Fakultat¨ fur¨ Ingenieurwissenschaften, Informatik und Psychologie der Universitat¨ Ulm Henning Johannes Gustav Kopp aus Villingen-Schwenningen 2018 Institut f¨urVerteilte Systeme Universit¨atUlm, Deutschland Amtierender Dekan: Prof. Maurits Ortmanns Gutachter: Prof. Frank Kargl Gutachter: Prof. Frederik Armknecht Tag der Promotion: 20.12.2018 Summary Recently, the paradigm of cloud storage has seen wide acceptance in industry and for personal use. One of its core principles is to outsource storage, such that users can be billed flexibly by their actual demand. However, outsourcing storage such as private data or business secrets leads to privacy problems, as control over the data is lost to the storage provider. This is intensified by the fact that often privacy is considered only as an afterthought in these systems and not integrated into the design from the beginning. Privacy-preserving alternatives to these centralized cloud storage providers are peer-to-peer systems like Freenet or GNUnet. In these systems, participants can donate storage to other users of the system. Privacy plays a vital role in these systems, as, e. g., participants are unable to access data of other users if they are not authorized to do so, even if the data of the other users resides on their own hard disk. However, these decentralized systems suffer from limited contribution due to a lack of incentives to participate. Naively enhancing these systems with the possibility of payments such that storage providers can earn money, infringes privacy, since tracing of payment flows provides links between users and their storage providers. -
Proofs of Replication Are Also Relevant in the Private-Verifier Setting of Proofs of Data Replication
PoReps: Proofs of Space on Useful Data Ben Fisch Stanford University, Protocol Labs Abstract A proof-of-replication (PoRep) is an interactive proof system in which a prover defends a publicly verifiable claim that it is dedicating unique resources to storing one or more retrievable replicas of a data file. In this sense a PoRep is both a proof of space (PoS) and a proof of retrievability (PoR). This paper establishes a foundation for PoReps, exploring both their capabilities and their limitations. While PoReps may unconditionally demonstrate possession of data, they fundamentally cannot guarantee that the data is stored redundantly. Furthermore, as PoReps are proofs of space, they must rely either on rational time/space tradeoffs or timing bounds on the online prover's runtime. We introduce a rational security notion for PoReps called -rational replication based on the notion of an -Nash equilibrium, which captures the property that a server does not gain any significant advantage by storing its data in any other (non-redundant) format. We apply our definitions to formally analyze two recently proposed PoRep constructions based on verifiable delay functions and depth robust graphs. Lastly, we reflect on a notable application of PoReps|its unique suitability as a Nakamoto consensus mechanism that replaces proof-of-work with PoReps on real data, simultaneously incentivizing and subsidizing the cost of file storage. 1 Introduction A proof-of-replication (PoRep) builds on the two prior concepts of proofs-of-retrievability (PoR) [30] and proofs-of-space (PoS) [24]. In the former a prover demonstrates that it can retrieve a file and in the latter the prover demonstrates that it is using some minimum amount of space to store information. -
Initial Coin Offerings
Initial Coin Offerings: Financing Growth with Cryptocurrency Token Sales Sabrina T. Howell, Marina Niessner, and David Yermack⇤ August, 2018 Abstract Initial coin offerings (ICOs) are a significant innovation in entrepreneurial finance. The sale of a blockchain-based digital token associated with a specific platform or venture is a new financing instrument with some parallels to IPOs, venture capital, and pre-sale crowdfunding. We examine the relationship between issuer characteristics and measures of success, with a focus on liquidity, using 453 ICOs that collectively raise $5.7 billion. We also employ proprietary transaction data in a case study of Filecoin, one of the most successful ICOs. We find that liquidity and trading volume are higher when issuers offer voluntary disclosure, credibly commit to the project, and signal quality. s s ss s ss ss ss s ⇤NYU Stern and NBER; AQR; NYU Stern, ECGI and NBER. Email: [email protected]. For helpful comments, we are grateful to Yakov Amihud, Bruno Biais, Will Cong, Darrell Duffie, Alex Edmans, seminar participants at the OECD Paris Workshop on Digital Financial Assets, Erasmus University, the Swedish House of Finance, the Munich Crowdfunding Symposium, the University of Adelaide, Deakin University, Melbourne University, Monash University, LaTrobe University, and the University of Western Australia. We thank Protocol Labs and particularly Evan Miyazono and Juan Benet for providing data. Sabrina Howell thanks the Kauffman Foundation for financial support. We are also grateful to all of our research assistants, especially Jae Hyung (Fred) Kim. Part of this paper was written while David Yermack was a visiting professor at Erasmus University Rotterdam. -
(GDPR): a Delphi Study
PEER Reviewed RESEARCH OPEN ACCESS ISSN Online: 2516-3957 ISSN Print: 2516-3949 https://doi.org/10.31585/JBBA-1-1-(4)2018 Blockchain and Privacy Protection in Case of The European General Data Protection Regulation (GDPR): A Delphi Study Simon Schwerin Berlin School of Economics and Law, Germany Correspondence: [email protected] Received: 28 March 2018 Accepted: 30 March 2018 Published: 18 April 2018 Abstract The present work deals with the interrelationships of blockchain technology and the new European General Data Protection Regulation, that will be intact after May 28th, 2018. The regulation harmonizes personal data protection across the European Union and aims to return the ownership of personal data to the individual. This thesis, therefore, addresses the question how this new technology that is characterized by decentralization, immutability and truly digitized values will be affected by the strict privacy regulation and vice versa. The aim of this work is to clarify whether blockchains can comply with the new regulation on the one hand and to identify how blockchain could support its compliance, on the other hand. The questions are validated through an extensive literature review and are further investigated by using a Delphi study that asks a panel of 25 renowned experts to find opportunities, limitations and general suggestions about both topics. In addition, a framework is proposed to support the assessment of privacy and related risks of blockchains. As a result, it becomes apparent that blockchains can become more privacy friendly and comply with the regulation if an active dialogue between blockchain developers and regulatory authorities helps to strengthen their mutual understanding and work. -
Incrementally Aggregatable Vector Commitments and Applications to Verifiable Decentralized Storage?
Incrementally Aggregatable Vector Commitments and Applications to Verifiable Decentralized Storage? Matteo Campanelli1, Dario Fiore1, Nicola Greco3, Dimitris Kolonelos1;2, and Luca Nizzardo3 1 IMDEA Software Institute, Madrid, Spain fmatteo.campanelli,dario.fiore,[email protected] 2 Universidad Politecnica de Madrid, Spain 3 Protocol Labs fnicola,[email protected] Abstract. Vector commitments with subvector openings (SVC) [Lai-Malavolta, Boneh-Bunz-Fisch; CRYPTO'19] allow one to open a committed vector at a set of positions with an opening of size independent of both the vector's length and the number of opened positions. We continue the study of SVC with two goals in mind: improving their efficiency and making them more suitable to decentralized settings. We address both problems by proposing a new notion for VC that we call incremental aggregation and that allows one to merge openings in a succinct way an unbounded number of times. We show two applications of this property. The first one is immediate and is a method to generate openings in a distributed way. For the second one, we use incremental aggregation to design an algorithm for faster generation of openings via preprocessing. We then proceed to realize SVC with incremental aggregation. We provide two constructions in groups of unknown order that, similarly to that of Boneh et al. (which supports only one-hop aggregation), have constant-size public parameters, commitments and openings. As an additional feature, for the first construction we propose efficient arguments of knowledge of subvector openings which immediately yields a keyless proof of storage with compact proofs. Finally, we address a problem closely related to that of SVC: storing a file efficiently in completely decentralized networks.