{"title":"比特币、加密货币和银行系统的人工智能和网络安全综合研究","authors":"Tamanna Choithani, Asmita Chowdhury, Shriya Patel, Poojan Patel, Daxal Patel, Manan Shah","doi":"10.1007/s40745-022-00433-5","DOIUrl":null,"url":null,"abstract":"<div><p>In recent years cryptocurrencies are emerging as a prime digital currency as an important asset and financial system is also emerging as an important aspect. To reduce the risk of investment and to predict price, trend, portfolio construction, and fraud detection some Artificial Intelligence techniques are required. The Paper discusses recent research in the field of AI techniques for cryptocurrency and Bitcoin which is the most popular cryptocurrency. AI and ML techniques such as SVM, ANN, LSTM, GRU, and much other related research work with cryptocurrency and Bitcoin have been reviewed and most relevant studies are discussed in the paper. Also highlighted some possible research opportunities and areas for better efficiency of the results. Recently in the past few years, artificial intelligence (AI) and cybersecurity have advanced expeditiously. Its implementation has been extensively useful in finance as well as has a crucial impact on markets, institutions, and legislation. It is making the world a better place. AI is responsible for the simulation of machines that are replicas of human beings and are intelligent enough. AI in finance is changing the way we communicate with money. It helps the financial industry streamline and optimize processes from credit judgments to quantitative analysis marketing and economic risk management. The main goal of this research has been investigating certain impacts of artificial intelligence in this contemporary world. It's centered on the appeal of artificial intelligence, confrontation, chances, and its influence on professions and careers. The research paper uses AI to enable banks to generate financial resources and to provide valuable customer services. The application of the growing Indian banking sector is part of everyday life made up of several banks like RBI, SBI, HDFC, etc. and these banks have digitally implemented using chat-bots that have brought benefits to the customers.</p></div>","PeriodicalId":36280,"journal":{"name":"Annals of Data Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comprehensive Study of Artificial Intelligence and Cybersecurity on Bitcoin, Crypto Currency and Banking System\",\"authors\":\"Tamanna Choithani, Asmita Chowdhury, Shriya Patel, Poojan Patel, Daxal Patel, Manan Shah\",\"doi\":\"10.1007/s40745-022-00433-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In recent years cryptocurrencies are emerging as a prime digital currency as an important asset and financial system is also emerging as an important aspect. 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引用次数: 0
摘要
近年来,加密货币作为一种重要资产正在成为一种主要的数字货币,金融系统也正在成为一个重要方面。为了降低投资风险,预测价格、趋势、投资组合构建和欺诈检测,需要一些人工智能技术。本文讨论了针对加密货币和比特币(最流行的加密货币)的人工智能技术领域的最新研究。本文回顾了 SVM、ANN、LSTM、GRU 等人工智能和 ML 技术,以及与加密货币和比特币相关的许多其他研究工作,并讨论了最相关的研究。本文还强调了一些可能的研究机会和领域,以提高研究成果的效率。最近几年,人工智能(AI)和网络安全迅速发展。人工智能在金融领域的应用非常广泛,并对市场、机构和立法产生了至关重要的影响。它让世界变得更加美好。人工智能负责模拟机器,这些机器是人类的复制品,具有足够的智能。金融领域的人工智能正在改变我们与金钱沟通的方式。它帮助金融业简化和优化从信贷判断到定量分析营销和经济风险管理的流程。这项研究的主要目标是调查人工智能在当今世界的某些影响。其核心是人工智能的吸引力、对抗性、机会及其对专业和职业的影响。研究论文利用人工智能使银行能够产生金融资源,并提供有价值的客户服务。由 RBI、SBI、HDFC 等多家银行组成的印度银行业不断发展,其应用已成为日常生活的一部分。
A Comprehensive Study of Artificial Intelligence and Cybersecurity on Bitcoin, Crypto Currency and Banking System
In recent years cryptocurrencies are emerging as a prime digital currency as an important asset and financial system is also emerging as an important aspect. To reduce the risk of investment and to predict price, trend, portfolio construction, and fraud detection some Artificial Intelligence techniques are required. The Paper discusses recent research in the field of AI techniques for cryptocurrency and Bitcoin which is the most popular cryptocurrency. AI and ML techniques such as SVM, ANN, LSTM, GRU, and much other related research work with cryptocurrency and Bitcoin have been reviewed and most relevant studies are discussed in the paper. Also highlighted some possible research opportunities and areas for better efficiency of the results. Recently in the past few years, artificial intelligence (AI) and cybersecurity have advanced expeditiously. Its implementation has been extensively useful in finance as well as has a crucial impact on markets, institutions, and legislation. It is making the world a better place. AI is responsible for the simulation of machines that are replicas of human beings and are intelligent enough. AI in finance is changing the way we communicate with money. It helps the financial industry streamline and optimize processes from credit judgments to quantitative analysis marketing and economic risk management. The main goal of this research has been investigating certain impacts of artificial intelligence in this contemporary world. It's centered on the appeal of artificial intelligence, confrontation, chances, and its influence on professions and careers. The research paper uses AI to enable banks to generate financial resources and to provide valuable customer services. The application of the growing Indian banking sector is part of everyday life made up of several banks like RBI, SBI, HDFC, etc. and these banks have digitally implemented using chat-bots that have brought benefits to the customers.
期刊介绍:
Annals of Data Science (ADS) publishes cutting-edge research findings, experimental results and case studies of data science. Although Data Science is regarded as an interdisciplinary field of using mathematics, statistics, databases, data mining, high-performance computing, knowledge management and virtualization to discover knowledge from Big Data, it should have its own scientific contents, such as axioms, laws and rules, which are fundamentally important for experts in different fields to explore their own interests from Big Data. ADS encourages contributors to address such challenging problems at this exchange platform. At present, how to discover knowledge from heterogeneous data under Big Data environment needs to be addressed. ADS is a series of volumes edited by either the editorial office or guest editors. Guest editors will be responsible for call-for-papers and the review process for high-quality contributions in their volumes.