Blockchain and the Future of the Internet: a Comprehensive Review
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Uila Supported Apps
Uila Supported Applications and Protocols updated Oct 2020 Application/Protocol Name Full Description 01net.com 01net website, a French high-tech news site. 050 plus is a Japanese embedded smartphone application dedicated to 050 plus audio-conferencing. 0zz0.com 0zz0 is an online solution to store, send and share files 10050.net China Railcom group web portal. This protocol plug-in classifies the http traffic to the host 10086.cn. It also 10086.cn classifies the ssl traffic to the Common Name 10086.cn. 104.com Web site dedicated to job research. 1111.com.tw Website dedicated to job research in Taiwan. 114la.com Chinese web portal operated by YLMF Computer Technology Co. Chinese cloud storing system of the 115 website. It is operated by YLMF 115.com Computer Technology Co. 118114.cn Chinese booking and reservation portal. 11st.co.kr Korean shopping website 11st. It is operated by SK Planet Co. 1337x.org Bittorrent tracker search engine 139mail 139mail is a chinese webmail powered by China Mobile. 15min.lt Lithuanian news portal Chinese web portal 163. It is operated by NetEase, a company which 163.com pioneered the development of Internet in China. 17173.com Website distributing Chinese games. 17u.com Chinese online travel booking website. 20 minutes is a free, daily newspaper available in France, Spain and 20minutes Switzerland. This plugin classifies websites. 24h.com.vn Vietnamese news portal 24ora.com Aruban news portal 24sata.hr Croatian news portal 24SevenOffice 24SevenOffice is a web-based Enterprise resource planning (ERP) systems. 24ur.com Slovenian news portal 2ch.net Japanese adult videos web site 2Shared 2shared is an online space for sharing and storage. -
Peer-To-Peer Software and Use of NRC Computers to Process SUNSI Frequently Asked Questions
Peer-to-Peer Software and Use of NRC Computers to Process SUNSI Frequently Asked Questions 1. What is peer-to-peer software? Peer-to-peer, or P2P, file-sharing systems provide users with the ability to share files on their computers with other people through the Internet. The most popular P2P software is free and is used to share music, movies, and games, and for Instant Messaging. 2. Why is P2P a problem? P2P software provides the capability for users to access files on other users’ computers beyond those intended for sharing (i.e., music). For example, if you have P2P software on your computer and you also do your own tax preparation on your computer and store a copy of the tax return on your hard drive, other people anywhere in the world may be able to access the files containing your tax return. 3. Have sensitive government files been obtained through the use of P2P? Yes. There are documented incidents where P2P software was used to obtain sensitive government information when peer-to-peer software was installed on a government or home computer. 4. Is someone obtaining sensitive information the only threat? No. P2P can also make it easier for computer viruses and other malicious software to be installed on your computer without your knowledge. 5. Have other Federal agencies adopted similar policies? Yes, other Federal agencies have adopted similar policies. The Office of Management and Budget wrote the requirements for government-wide adoption in 2004. Additionally, due to the increased awareness of the P2P threat that has arisen since 2004, DOT, DHS, DOE, DOD, and other agencies have issued specific P2P policies. -
Blockchain in an Internet-Of-Things Network Based on User Participation
Blockchain in an Internet-of-Things Network Based on User Participation Robert Ljungblad Computer Science and Engineering, bachelor's level 2019 Luleå University of Technology Department of Computer Science, Electrical and Space Engineering ABSTRACT The internet-of-things is the relatively new and rapidly growing concept of connecting everyday devices to the internet. Every day more and more devices are added to the internet-of-things and it is not showing any signs of slowing down. In addition, advancements in new technologies such as blockchains, artificial intelligence, virtual reality and machine learning are made practically every day. However, there are still much to learn about these technologies. This thesis explores the possibilities of blockchain technology by applying it to an internet-of-things network based on user participation. More specifically, it is applied to a use case derived from Luleå Kommun’s wishes to easier keep track of how full the city’s trash cans are. The goal of the thesis is to learn more about how blockchains can help an internet-of-things network as well as what issues can arise. The method takes an exploratory approach to the problem by partaking in a workshop with Luleå Kommun and by performing a literature study. It also takes a qualitative approach by creating a proof-of-concept solution to experience the technology firsthand. The final proof-of-concept as well as issues that arose during the project are analysed with the help of information gathered and experience gained throughout the project. It is concluded that blockchain technology can help communication in an internet-of-things network based on user participation. -
Linking Wallets and Deanonymizing Transactions in the Ripple Network
Proceedings on Privacy Enhancing Technologies ; 2016 (4):436–453 Pedro Moreno-Sanchez*, Muhammad Bilal Zafar, and Aniket Kate* Listening to Whispers of Ripple: Linking Wallets and Deanonymizing Transactions in the Ripple Network Abstract: The decentralized I owe you (IOU) transac- 1 Introduction tion network Ripple is gaining prominence as a fast, low- cost and efficient method for performing same and cross- In recent years, we have observed a rather unexpected currency payments. Ripple keeps track of IOU credit its growth of IOU transaction networks such as Ripple [36, users have granted to their business partners or friends, 40]. Its pseudonymous nature, ability to perform multi- and settles transactions between two connected Ripple currency transactions across the globe in a matter of wallets by appropriately changing credit values on the seconds, and potential to monetize everything [15] re- connecting paths. Similar to cryptocurrencies such as gardless of jurisdiction have been pivotal to their suc- Bitcoin, while the ownership of the wallets is implicitly cess so far. In a transaction network [54, 55, 59] such as pseudonymous in Ripple, IOU credit links and transac- Ripple [10], users express trust in each other in terms tion flows between wallets are publicly available in an on- of I Owe You (IOU) credit they are willing to extend line ledger. In this paper, we present the first thorough each other. This online approach allows transactions in study that analyzes this globally visible log and charac- fiat money, cryptocurrencies (e.g., bitcoin1) and user- terizes the privacy issues with the current Ripple net- defined currencies, and improves on some of the cur- work. -
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 -
GJR-GARCH Volatility Modeling Under NIG and ANN for Predicting Top Cryptocurrencies
Journal of Risk and Financial Management Article GJR-GARCH Volatility Modeling under NIG and ANN for Predicting Top Cryptocurrencies Fahad Mostafa 1,* , Pritam Saha 2, Mohammad Rafiqul Islam 3 and Nguyet Nguyen 4,* 1 Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX 79409, USA 2 Rawls College of Business, Texas Tech University, Lubbock, TX 79409, USA; [email protected] 3 Department of Mathematics, Florida State University, Tallahassee, FL 32306, USA; [email protected] 4 Department of Mathematics and Statistics, Youngstown State University, Youngstown, OH 44555, USA * Correspondence: [email protected] (F.M.); [email protected] (N.N.) Abstract: Cryptocurrencies are currently traded worldwide, with hundreds of different currencies in existence and even more on the way. This study implements some statistical and machine learning approaches for cryptocurrency investments. First, we implement GJR-GARCH over the GARCH model to estimate the volatility of ten popular cryptocurrencies based on market capitalization: Bitcoin, Bitcoin Cash, Bitcoin SV, Chainlink, EOS, Ethereum, Litecoin, TETHER, Tezos, and XRP. Then, we use Monte Carlo simulations to generate the conditional variance of the cryptocurrencies using the GJR-GARCH model, and calculate the value at risk (VaR) of the simulations. We also estimate the tail-risk using VaR backtesting. Finally, we use an artificial neural network (ANN) for predicting the prices of the ten cryptocurrencies. The graphical analysis and mean square errors (MSEs) from the ANN models confirmed that the predicted prices are close to the market prices. For some cryptocurrencies, the ANN models perform better than traditional ARIMA models. Citation: Mostafa, Fahad, Pritam Saha, Mohammad Rafiqul Islam, and Keywords: artificial neural network; cryptocurrency; GJR-GARCH; NIG; Monte Carlo simulation; Nguyet Nguyen. -
Trail's End Rewards
Get more YESSES with the TRAIL’S END REWARDS New Trail’s End App EARN BIGGER REWARDS THAN EVER BEFORE Accept cash and credit cards (FREE CREDIT CARD PROCESSING), BUY THE PRIZE(S) YOU WANT WITH AN AMAZON.COM GIFT CARD track sales and inventory, and sign up for available storefronts. TO REDEEM YOUR AMAZON.COM GIFT CARD, SCOUTS MUST HAVE A REGISTERED TRAIL’S END ACCOUNT. SEE MORE PRIZES AT REWARDS.TRAILS-END.COM The App for All the Ways You Sell! Sell REWARD IDEAS: 2018 TOP SELLERS $3,500 Storefronts Door-to-Door Online At Work Local Businesses $88,073 $88,017 Earn a $225 Beck Mason Amazon.com Gift Card Virginia Michigan BONUS LEVEL $ TRAIL’S END SCHOLARSHIP PROGRAM REWARD IDEAS: Sell $2,500 of qualifying Trail’s End products in any calendar year and have 6% of $80,000 your total sales count towards your own Trail’s End Scholarship. Once enrolled, 6% of your sales each year will go towards the scholarship. You only have to hit the $2,500 minimum one time. Visit www.trails-end.com/scholarship for full Download Register Set Your Goal Start Selling $60,000 program details. Sell REWARD IDEAS: $40,000 FAMILY VACATION! $2,500 KEEP GOING! + + Earn a $150 FREE SHIPPING on EVERY online order! Hotels.com Uber New Amazon.com Gift Card $20,000 Gift Card Gift Card Luggage Set Sell REWARD IDEAS: NO LIMIT $1,500 Reach friends and family far away by sharing your personalized Scout Sell above $15,000 and earn 8% of your total sales in Earn a $75 fundraising page from the app via email, text, and social media. -
OCC Interpretive Letter 1174: DLT and Stable Coins
OCC interpretive letter 1174: DLT and stable coins Author: Ousmène Jacques Mandeng, Senior Advisor, Blockchain and Multiparty Systems, Accenture Table of Contents OCC interpretive letter 1174: DLT and stable coins .................................................. 2 OCC’s position on DLT and stable coins ................................................................. 2 DLT-platforms .......................................................................................................... 3 Tokens ..................................................................................................................... 4 Stable coins ............................................................................................................. 4 Token payments ...................................................................................................... 5 Token networks ....................................................................................................... 5 Bank balance sheet tokenization ............................................................................ 6 Next steps ................................................................................................................. 7 Copyright © 2021 Accenture. All rights reserved. 1 United States OCC interpretive letter 1174: DLT and stable coins The United States Office of the Comptroller of the Currency (OCC), a federal supervisor of national banks and cooperative banks, issued new general guidance about stable coins and distributed ledger technology (DLT) -
Defending Against Malicious Reorgs in Tezos Proof-Of-Stake
Defending Against Malicious Reorgs in Tezos Proof-of-Stake Michael Neuder Daniel J. Moroz Harvard University Harvard University [email protected] [email protected] Rithvik Rao David C. Parkes Harvard University Harvard University [email protected] [email protected] ABSTRACT Conference on Advances in Financial Technologies (AFT ’20), October 21– Blockchains are intended to be immutable, so an attacker who is 23, 2020, New York, NY, USA. ACM, New York, NY, USA , 13 pages. https: //doi.org/10.1145/3419614.3423265 able to delete transactions through a chain reorganization (a ma- licious reorg) can perform a profitable double-spend attack. We study the rate at which an attacker can execute reorgs in the Tezos 1 INTRODUCTION Proof-of-Stake protocol. As an example, an attacker with 40% of the Blockchains are designed to be immutable in order to protect against staking power is able to execute a 20-block malicious reorg at an attackers who seek to delete transactions through chain reorga- average rate of once per day, and the attack probability increases nizations (malicious reorgs). Any attacker who causes a reorg of super-linearly as the staking power grows beyond 40%. Moreover, the chain could double-spend transactions, meaning they commit an attacker of the Tezos protocol knows in advance when an at- a transaction to the chain, receive some goods in exchange, and tack opportunity will arise, and can use this knowledge to arrange then delete the transaction, effectively robbing their counterparty. transactions to double-spend. We show that in particular cases, the Nakamoto [15] demonstrated that, in a Proof-of-Work (PoW) setting, Tezos protocol can be adjusted to protect against deep reorgs. -
Blocksci: Design and Applications of a Blockchain Analysis Platform
BlockSci: Design and applications of a blockchain analysis platform Harry Kalodner Steven Goldfeder Alishah Chator [email protected] [email protected] [email protected] Princeton University Princeton University Johns Hopkins University Malte Möser Arvind Narayanan [email protected] [email protected] Princeton University Princeton University ABSTRACT to partition eectively. In fact, we conjecture that the use of a tra- Analysis of blockchain data is useful for both scientic research ditional, distributed transactional database for blockchain analysis and commercial applications. We present BlockSci, an open-source has innite COST [5], in the sense that no level of parallelism can software platform for blockchain analysis. BlockSci is versatile in outperform an optimized single-threaded implementation. its support for dierent blockchains and analysis tasks. It incorpo- BlockSci comes with batteries included. First, it is not limited rates an in-memory, analytical (rather than transactional) database, to Bitcoin: a parsing step converts a variety of blockchains into making it several hundred times faster than existing tools. We a common, compact format. Currently supported blockchains in- describe BlockSci’s design and present four analyses that illustrate clude Bitcoin, Litecoin, Namecoin, and Zcash (Section 2.1). Smart its capabilities. contract platforms such as Ethereum are outside our scope. Second, This is a working paper that accompanies the rst public release BlockSci includes a library of useful analytic and visualization tools, of BlockSci, available at github.com/citp/BlockSci. We seek input such as identifying special transactions (e.g., CoinJoin) and linking from the community to further develop the software and explore addresses to each other based on well-known heuristics (Section other potential applications. -
Merged Mining: Curse Or Cure?
Merged Mining: Curse or Cure? Aljosha Judmayer, Alexei Zamyatin, Nicholas Stifter, Artemios Voyiatzis, Edgar Weippl SBA Research, Vienna, Austria (firstletterfirstname)(lastname)@sba-research.org Abstract: Merged mining refers to the concept of mining more than one cryp- tocurrency without necessitating additional proof-of-work effort. Although merged mining has been adopted by a number of cryptocurrencies already, to this date lit- tle is known about the effects and implications. We shed light on this topic area by performing a comprehensive analysis of merged mining in practice. As part of this analysis, we present a block attribution scheme for mining pools to assist in the evaluation of mining centralization. Our findings disclose that mining pools in merge-mined cryptocurrencies have operated at the edge of, and even beyond, the security guarantees offered by the underlying Nakamoto consensus for ex- tended periods. We discuss the implications and security considerations for these cryptocurrencies and the mining ecosystem as a whole, and link our findings to the intended effects of merged mining. 1 Introduction The topic of merged mining has received little attention from the scientific community, despite having been actively employed by a number of cryptocurrencies for several years. New and emerging cryptocurrencies such as Rootstock continue to consider and expand on the concept of merged mining in their designs to this day [19]. Merged min- ing refers to the process of searching for proof-of-work (PoW) solutions for multiple cryptocurrencies concurrently without requiring additional computational resources. The rationale behind merged mining lies in leveraging on the computational power of different cryptocurrencies by bundling their resources instead of having them stand in direct competition, and also to serve as a bootstrapping mechanism for small and fledgling networks [27, 33]. -
An Analysis of Retail User Protection in Bitcoin Remittance Markets
107 SENDING A BIT MORE COIN HOME? AN ANALYSIS OF RETAIL USER PROTECTION IN BITCOIN REMITTANCE MARKETS Jared Cotton* This article examines the use of Bitcoin in money remittance markets as a specific illustration of wider emerging regulatory issues relating to the use of cryptocurrencies. While there are many conceivable benefits of using Bitcoin for remittances, there are also many risks for users of these remittance services. This article adopts a user perspective to look at what the major concerns are and what existing protections may be available to persons using cryptocurrencies under New Zealand law through the example of using Bitcoin for remittance purposes. The article then summarises approaches taken by other jurisdictions before suggesting a specific regulatory approach to cryptocurrencies that New Zealand should consider adopting. I INTRODUCTION Throughout history, currency has existed in many forms.1 At its heart, currency is a social construct: what people are collectively willing to use as currency becomes currency.2 Currency can be anything with the facility to "store value, measure value and facilitate transactions".3 Historically, for example, gold, silver and conch shells have all been used as currency.4 The latest form of currency * Submitted as part of the LLB (Hons) programme at Victoria University of Wellington. I am sincerely grateful for the guidance and feedback from my supervisor, Victoria Stace. This article was written with the information available at February 2018. I acknowledge that the fast-changing nature of cryptocurrency may make elements of this article no longer current at the time of publication. 1 "Digital Currencies: A new specie" The Economist (online ed, London, 13 April 2013).