A Probabilistic Analysis on Crypto-Currencies Based on Blockchain

التفاصيل البيبلوغرافية
العنوان: A Probabilistic Analysis on Crypto-Currencies Based on Blockchain
المؤلفون: Shafalika Vijayal, Meenakshi Bhat
المصدر: 2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS).
بيانات النشر: IEEE, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Cryptocurrency, Blockchain, Global business, Currency, Financial transaction, Secondary sector of the economy, Probabilistic analysis of algorithms, Business, Private sector, Computer security, computer.software_genre, computer
الوصف: The blockchain is a perceptive invention - the discovery of a person or group of people. But since its invention, it has evolved into something greater and present opportunities for tempestuous innovation. Blockchain has tried to allure evreryone across different domains like industrial sector, banking, healthcare, land holdings and even the public and private sector. The blockchain is an imperishable digital log of financial transactions that can be scheduled to record not just efficient transactions but practically everything that holds a price. It enables global business transactions with less conflict and more trust. Blockchain has invented an era into technology in which the digital information can be distributed without being imitated. Bitcoin blockchain is the most popular public blockchain network, with around 10K nodes. The other big cryptocurrency blockchain project is Ethereum. Ethereum however wasn't designed to be a form of currency but instead it is intended to enable "smart contracts". Many cryptocurrencies are built on the top of blockchain, with the most popular being Bitcoin. In this paper we are going to present an overview of the blockchain technology with focus on two most widely used cryptocurrencies and their comparative analysis.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::9879e72fc4c14538f348244d2e8f1925Test
https://doi.org/10.1109/icngcis.2017.37Test
رقم الانضمام: edsair.doi...........9879e72fc4c14538f348244d2e8f1925
قاعدة البيانات: OpenAIRE