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Journal articles on the topic 'Monero'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Zhang, Yifan, and Haixia Xu. "Accountable Monero System with Privacy Protection." Security and Communication Networks 2022 (April 23, 2022): 1–15. http://dx.doi.org/10.1155/2022/7746341.

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Monero is one of the prominent cryptocurrencies bringing robust privacy safeguard levels. However, for Monero lacking accountability, it is easy to use anonymity and privacy for committing the crime without the leakage of identity. And some exchanges are not very receptive to Monero. The purpose of this study is to balance privacy and accountability in Monero. Specifically, we studied the way to provide accountability while keeping privacy. We develop an accountable Monero model. Our model isolates three kinds of roles, users, the trusted registration authority, and a trusted regulator. Accoun

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2

Nosov, V. V., O. V. Manzhai, and V. O. Kovtun. "Technical, forensic and organisational aspects of work with Monero cryptocurrency." Law and Safety 90, no. 3 (2023): 102–25. http://dx.doi.org/10.32631/pb.2023.3.09.

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The forensic, organisational and technical features of law enforcement agencies' work with the Monero cryptocurrency in the context of pre-trial investigation and operational search activities are analysed. The development of the Monero system is described. The reasons and trends of Monero use by offenders are identified, and the scheme of operation of this payment system, which ensures its increased confidentiality, is shown. Examples of criminal offences in which Monero is used are presented. The functionality of OpenAlias to facilitate the work with Monero addresses is disclosed. The possib

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3

Jin, Ruiqi. "The Advance of Ring Confidential Transactions." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 1104–10. http://dx.doi.org/10.54097/hset.v39i.6715.

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Ring Confidential Transactions (RingCT) is a protocol associated with the privacy-focused cryptocurrency Monero and is used to hide the transaction amount from the third party while still providing the confidentiality of the hide transaction. With the Pederson commitment scheme, ring signature, and other cryptographic constructions, RingCT plays a major role in making the transactions of Monero private. As a privacy coin, Monero has the unique property of fungibility in the cryptocurrency market from the protocols implemented. These protocols provided opportunities and challenges for its futur

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4

Thakore, Varun, and Saravanan Vijayakumaran. "MProve-Nova: A Privacy-Preserving Proof of Reserves Protocol for Monero." Proceedings on Privacy Enhancing Technologies 2025, no. 2 (2025): 582–606. https://doi.org/10.56553/popets-2025-0078.

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A proof of reserves (PoR) protocol enables a cryptocurrency exchange to prove to its users that it owns a certain amount of coins, as a first step towards proving that it is solvent. We present the design, implementation, and security analysis of MProve-Nova, a PoR protocol for Monero that leverages the Nova recursive SNARK to achieve two firsts (without requiring any trusted setup). It is the first Monero PoR protocol that reveals only the number of outputs owned by an exchange; no other information about the outputs or their key images is revealed. It is also the first Monero PoR protocol wh

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Noether, Shen, Adam Mackenzie, and The Monero Research Lab. "Ring Confidential Transactions." Ledger 1 (December 21, 2016): 1–18. http://dx.doi.org/10.5195/ledger.2016.34.

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This article introduces a method of hiding transaction amounts in the strongly decentralized anonymous cryptocurrency Monero. Similar to Bitcoin, Monero is a cryptocurrency which is distributed through a proof-of-work “mining” process having no central party or trusted setup. The original Monero protocol was based on CryptoNote, which uses ring signatures and one-time keys to hide the destination and origin of transactions. Recently the technique of using a commitment scheme to hide the amount of a transaction has been discussed and implemented by Bitcoin Core developer Gregory Maxwell. In thi

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6

Elbaghdadi, Abdelaziz. "A Survey of Monero Security." Journal of Advanced Research in Dynamical and Control Systems 12, no. 01-Special Issue (2020): 88–93. http://dx.doi.org/10.5373/jardcs/v12sp1/20201050.

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7

Binti Abdul Aziz, Azizah, Syahrulanuar Bin Ngah, Yau Ti Dun, and Tan Fui Bee. "Coinhive’s Monero Drive-by Crypto-jacking." IOP Conference Series: Materials Science and Engineering 769 (June 9, 2020): 012065. http://dx.doi.org/10.1088/1757-899x/769/1/012065.

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8

Möser, Malte, Kyle Soska, Ethan Heilman, et al. "An Empirical Analysis of Traceability in the Monero Blockchain." Proceedings on Privacy Enhancing Technologies 2018, no. 3 (2018): 143–63. http://dx.doi.org/10.1515/popets-2018-0025.

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Abstract Monero is a privacy-centric cryptocurrency that allows users to obscure their transactions by including chaff coins, called “mixins,” along with the actual coins they spend. In this paper, we empirically evaluate two weaknesses in Monero’s mixin sampling strategy. First, about 62% of transaction inputs with one or more mixins are vulnerable to “chain-reaction” analysis - that is, the real input can be deduced by elimination. Second, Monero mixins are sampled in such a way that they can be easily distinguished from the real coins by their age distribution; in short, the real input is u

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9

Luo, Yiming. "Difference between ECDSA with ED25519 and Their Future." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 1122–26. http://dx.doi.org/10.54097/hset.v39i.6717.

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It is always a trendy topic about virtual currency nowadays in the world. These virtual currencies like Bitcoin and Monero are precious and cryptic, which play a more critical role in the economy since no departments or governments control their transactions and deals. How could the transaction system provide users with security and protect their property? What's more, one of the most important characteristics is that all the transactions are untraceable, which means that the governments and the users cannot figure out the identity of another user. This paper discusses some principles of Bitco

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10

Chambino, Mariana, Rui Manuel Teixeira Dias, and Nicole Rebolo Horta. "Asymmetric efficiency of cryptocurrencies during the 2020 and 2022 events." Economic Analysis Letters 2, no. 2 (2023): 23–33. http://dx.doi.org/10.58567/eal02020004.

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In this study, we examined the efficiency of cryptocurrencies Bitcoin (BTC), Ethereum (ETH), Litecoin (LTC), Ripple (XRP), DASH, EOS, and MONERO from March 1, 2018, to March 1, 2023. We separated the sample into four subperiods for this purpose: a Tranquil period that includes the period from March 1, 2018, to December 31, 2019; a First Wave that includes the year 2020; a Second Wave that includes the year 2021; and a fourth subperiod that includes Russia's invasion of Ukraine in 2022-2023. The results are mixed, with some cryptocurrencies exhibiting equilibrium and others exhibiting autocorre

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CAN ERGÜN, Zeliha, and Busra KUTLU KARABIYIK. "Forecasting Monero Prices with a Machine Learning Algorithm." Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi 16, no. 3 (2021): 651–63. http://dx.doi.org/10.17153/oguiibf.932839.

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Engelmann, Felix, Thomas Kerber, Markulf Kohlweiss, and Mikhail Volkhov. "Zswap: zk-SNARK Based Non-Interactive Multi-Asset Swaps." Proceedings on Privacy Enhancing Technologies 2022, no. 4 (2022): 507–27. http://dx.doi.org/10.56553/popets-2022-0120.

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Privacy-oriented cryptocurrencies, like Zcash or Monero, provide fair transaction anonymity and confidentiality, but lack important features compared to fully public systems, like Ethereum. Specifically, supporting assets of multiple types and providing a mechanism to atomically exchange them, which is critical for e.g. decentralized finance (DeFi), is challenging in the private setting. By combining insights and security properties from Zcash and SwapCT (PETS 21, an atomic swap system for Monero), we present a simple zk-SNARKs based transaction scheme, called Zswap, which is carefully malleab

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Fadilah, Muhammad Derri, Hafiz Firdaus, and Muhamad Riyyan. "Implementasi Monero Mining Pada Raspberry Pi 4 Model B." Jurnal Ilmiah Informatika 8, no. 1 (2023): 13–23. http://dx.doi.org/10.35316/jimi.v8i1.13-23.

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In the world of cryptocurrency, Monero is one of the cryptocurrencies that was created in 2014. Monero uses CryptoNight as a proof-of-work algorithm to get cryptocurrency coins. The proof-of-work algorithm requires miners to have tools with large computing power so they are competing to buy tools with large computing power, but there is a problem with the electricity generated is also large. The Raspberry Pi was tested as an alternative cryptocurrency mining tool that has economic value. In this study, we implemented the Raspberry Pi 4 Model B to calculate how much computing power was generate

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Naimy, Viviane, Omar Haddad, Gema Fernández-Avilés, and Rim El Khoury. "The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies." PLOS ONE 16, no. 1 (2021): e0245904. http://dx.doi.org/10.1371/journal.pone.0245904.

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This paper provides a thorough overview and further clarification surrounding the volatility behavior of the major six cryptocurrencies (Bitcoin, Ripple, Litecoin, Monero, Dash and Dogecoin) with respect to world currencies (Euro, British Pound, Canadian Dollar, Australian Dollar, Swiss Franc and the Japanese Yen), the relative performance of diverse GARCH-type specifications namely the SGARCH, IGARCH (1,1), EGARCH (1,1), GJR-GARCH (1,1), APARCH (1,1), TGARCH (1,1) and CGARCH (1,1), and the forecasting performance of the Value at Risk measure. The sampled period extends from October 13th 2015

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Liu, Liang, Lin Liu, Beibei Li, Yi Zhong, Shan Liao, and Lei Zhang. "MSCCS: A Monero-based security-enhanced covert communication system." Computer Networks 205 (March 2022): 108759. http://dx.doi.org/10.1016/j.comnet.2021.108759.

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16

Dutta, Arijit, Suyash Bagad, and Saravanan Vijayakumaran. "MProve+: Privacy Enhancing Proof of Reserves Protocol for Monero." IEEE Transactions on Information Forensics and Security 16 (2021): 3900–3915. http://dx.doi.org/10.1109/tifs.2021.3088035.

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17

Guo, Zhaozhong, Liucheng Shi, Maozhi Xu, and Hong Yin. "MRCC: A Practical Covert Channel Over Monero With Provable Security." IEEE Access 9 (2021): 31816–25. http://dx.doi.org/10.1109/access.2021.3060285.

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Bissaliyev, M. S., A. T. Nyussupov, and Sh Zh Mussiraliyeva. "Enterprise Security Assessment Framework for Cryptocurrency Mining Based on Monero." Journal of Mathematics, Mechanics and Computer Science 98, no. 2 (2018): 67–76. http://dx.doi.org/10.26577/jmmcs-2018-2-400.

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PURKOVIC, Safet, Edis MEKIC, Kristijan KUK, and Ladin GOSTIMIROVIC. "Empirical Analysis of Silent Mining Operation in the Monero System." Studies in Informatics and Control 30, no. 4 (2021): 99–108. http://dx.doi.org/10.24846/v30i4y202109.

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Chervinski, João Otávio Massari, and Diego Kreutz. "Introdução às tecnologias dos blockchains e das criptomoedas." Revista Brasileira de Computação Aplicada 11, no. 3 (2019): 12–27. http://dx.doi.org/10.5335/rbca.v11i3.9394.

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As tecnologias utilizadas pelas criptomoedas, como o blockchain, tornaram possível a realização de transações entre os usuários sem a necessidade de uma entidade intermediária (exemplo: um banco). As criptomoedas (como Bitcoin e Monero) podem ser denidas como sistemas descentralizados que operam sem a necessidade de intermediários, tornando possível a realização de pagamentos descentralizados e sem fronteiras, onde usuários podem participar de transações sem a necessidade de estabelecer confiança. Devido a essas características e possibilidades, o uso de blockchain difundiu-se rapidamente pelo

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21

Ismail, Syafiqah, and Mohamad Yazis Ali Basah. "AN ANALYSIS ON CRYPTOCURRENCIES AND MACROECONOMIC VARIABLES USING VECTOR ERROR CORRECTION MODEL (VECM)." ASEAN Journal of Management and Business Studies 3, no. 1 (2021): 8–15. http://dx.doi.org/10.26666/rmp.ajmbs.2021.1.2.

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Cryptocurrency symbolizes of a new development in the financial sector since it is the world's first entirely decentralized digital payment system. The cryptocurrency known as virtual money is one of the most important innovations brought on by digitalization. The purpose of this study is to analyze the relationship between the cryptocurrency (Bitcoin, Monero, and Stellar) with macroeconomics variables known as stock price index (Dow Jones dan Nikkei), oil price (Brent Oil dan WTI), and exchange rates (Australian Dollar, Euro, and Pound Sterling). The data was obtained from investing.com on mo

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22

Marques, Ivone, Rui Dias, Rosa Galvão, Aloisio Machado da Silva Filho, Paulo Alexandre, and Sidalina Gonçalves. "Efficiency of traditional and green cryptocurrencies: A comparative analysis." Journal of Ecohumanism 4, no. 4 (2025): 142–59. https://doi.org/10.62754/joe.v4i4.6718.

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The main objective of this research is to evaluate the efficiency, in its weak form, of digital currencies classified as "dirty", such as Bitcoin (BTC) and Ethereum (ETH), and the green ones, namely Lisk (LISK), Metaverse (METAVERSE), Quantum (QTUM), Litecoin (LTC), Augur (REP), Cardano (ADA), Dash (DASH), EOS (EOS), Quantum (QTUM), Litecoin (LTC), Ripple (XRP), Augur (REP), Cardano (ADA), Dash (DASH), EOS (EOS), IOTA (IOTA), Monero (XMR), Neo (NEO), Omisego (OMG), Stellar (XLM) and Zcash (ZEC), for the period from 1 January 2018 to 23 November 2023. The results show that Bitcoin (BTC), Metave

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Охріменко, Т. О., О. І. Макаренко, А. В. Бредніков, А. В. Толбатов та І. О. Бондаренко. "Проблеми анонімності та централізації фінансових систем і їхнє вирішення за допомогою технології Blockchain". Реєстрація, зберігання і обробка даних 24, № 1 (2022): 82–91. http://dx.doi.org/10.35681/1560-9189.2022.24.1.263077.

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Наразі централізована фінансова система має істотні недоліки. Персональні дані концентруються у централізованих базах даних та підлягають достатньому ризику бути скомпрометованими. Існує проблема захисту персональних даних користувачів. Крім того існує проблема анонімності сторін транзакції. Також проблемою централізованого фінансового світу є так званий «Ефект Метью». У статті наведено статистику витоків персональних даних. Розглянуто рішення Blockchain, яке засноване на протоколі Monero, що дає змогу вирішити окреслені проблеми. Для забезпечення анонімності та високої продуктивності представ

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Putri, Anatasya Pratiwi, Raja Ria Yusnita, and Raja Ade Fitrasari Mochtar. "PEMILIHAN PORTOFOLIO CRYPTOCURRENCY: (BITCOIN, YEARN.FINANCE, DOGECOIN, BINANCE COIN, CARDANO, DAN MONERO)." Bisnis-Net Jurnal Ekonomi dan Bisnis 6, no. 1 (2023): 127–41. http://dx.doi.org/10.46576/bn.v6i1.3249.

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Cryptocurrency is a digital currency that can be used for transaction tools, using cryptography so that it is difficult to counterfeit. The crypto does not have a physical form, but can still be used as a digital asset. This study aims to determine an efficient portfolio of several cryptocurrencies by forming an Efficient Frontier Line. The efficient frontier line is formed by determining the risk and return of 6 cryptocurrencies, namely Bitcoin, Dogecoin, Yearn.finance, Binance Coin, Monero and Cardano. The technique used to select the sample is direct observation or observation of the prices

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Mider, Daniel, and Ewa Aleksandra Ziemak. "Technologie wspierające prywatność – ideologia, prawo, wdrożenia." Przegląd Bezpieczeństwa Wewnętrznego 13, no. 24 (2021): 132–72. http://dx.doi.org/10.4467/20801335pbw.21.003.13560.

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Technologie wspierające prywatność (Privacy Enhancing Technologies, PET) stwarzają zagrożenie ładu społecznego. Wskazuje na to analiza ich ideologiczno-politycznych fundamentów oraz uregulowań prawnych wprowadzających ograniczenia w zakresie ich używania, a także analiza ich faktycznych zastosowań w działalności cyberprzestępczej. Opracowanie ma charakter przeglądowy i praktyczny, dokonano w nim autorskiego stypologizowania technologii wspierających prywatność. Ocenie poddano wybrane instrumenty informatyczne, które są najpowszechniej używane oraz stanowią potencjalne i rzeczywiste zagrożenie.

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Sya’imaa.HS, Audrey Ariij, Kankan Parmikanti, and Riaman Riaman. "Average and Risk-Return Analysis of Cryptocurrencies Using ARMA-GARCH Models." International Journal of Global Operations Research 4, no. 4 (2023): 263–70. http://dx.doi.org/10.47194/ijgor.v4i4.214.

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Cryptocurrency is a digital currency that is created through encrypted cryptography with complex algorithm and connected to each other on the blockchain system. Cryptocurrencies are widely used as investment instruments for financial assets like stocks. Similar to stocks, cryptocurrencies have a high risk – high returns characteristic, but the fluctuation of cryptocurrencies are more dynamic. Professional investors would do a volatility analysis of cryptocurrencies that potentially give the best returns. Returns assessment usually refers to the average value or expected return, while the estim

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Alvi, Jahanzaib, Kehkashan Nizam, Saeb Muhammad Jafri, Muhammad Rehan, and Muhammad Muzaffar Ali. "Cryptocurrency Predictive Analytics: A Comparative Study of LSTM, CNN, and GRU Models." Pakistan Business Review 26, no. 3 (2025): 255–87. https://doi.org/10.22555/pbr.v26i3.1236.

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This paper investigates the efficacy of deep learning models such as Long-Short Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Units (GRU) for cryptocurrency price prediction, examining their short-term and long-term forecasting accuracy for investor guidance and advancing AI in financial analysis. The study uses time series analysis with LSTM, CNN, and GRU models on daily cryptocurrency prices from Investing.com, preprocessing data before testing on Bitcoin, Ethereum Classic, Ethereum, Litecoin, Monero, and the other 37 cryptocurrencies. RMSE, MAE, and accuracy r

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MELKI, ABIR. "Measuring Volatility Spillovers among cryptocurrencies: A Generalized VAR approach." Bankers, Markets & Investors 162 (September 1, 2020): 46–65. http://dx.doi.org/10.54695/bmi.162.4640.

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This paper investigates volatility spillovers among six competitor Cryptocurrencies from August 8, 2015 to September 01, 2019. A Generalized VAR framework is used to measure time varying spillovers index. Results provide evidence of (i) a rise in volatility spillovers transmitted among monitored Cryptocurrencies since the second quarter of 2017. (ii) Ethereum acts as the major contributor on spillovers index, contrary to Ripple that presents the main recipient of spillovers. (iii) the pairwise (Monero-Ripple) and (Bitcoin-Ethereum) present a low connectedness level driving consequently benefic

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Kanzler, H. J. "Steuerbarkeit von Gewinnen aus der Veräußerung von verschiedenen Kryptowährungen (Bitcoin, Ether, Monero)." FinanzRundschau 105, no. 7 (2023): 323–30. http://dx.doi.org/10.9785/fr-2023-1050708.

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Biryukov, Alex, and Sergei Tikhomirov. "Security and privacy of mobile wallet users in Bitcoin, Dash, Monero, and Zcash." Pervasive and Mobile Computing 59 (October 2019): 101030. http://dx.doi.org/10.1016/j.pmcj.2019.101030.

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Oliveira, Jordan Vinícius, and Marília Carneiro da Cunha Lopes. "Considerações sobre Anonimato, Pseudoanonimato e Criptomoedas." Revista Eletrônica Direito e Sociedade - REDES 9, no. 1 (2021): 159. http://dx.doi.org/10.18316/redes.v9i1.6749.

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O presente artigo avalia a temática do anonimato e do pseudoanonimato para as criptomoedas. A pergunta de pesquisa avalia se existe, no ordenamento jurídico nacional, algum elemento restritivo para a transação de criptomoedas com o intuito de anonimato. Sob o prisma jurídico, a Lei Geral de Proteção de Dados Pessoais e as normativas da do Banco Central e da Receita Federal integram o quadro de avaliação. Sob o prisma tecnológico, o modo de funcionamento e a relação com anonimato ou pseudoanonimato do Bitcoin, do Monero, do Zcash e do Dash compõem a análise. A conclusão é a de que, até o moment

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Qi, Yanhong, and Li-Ping Wang. "A New Code-Based Traceable Ring Signature Scheme." Security and Communication Networks 2022 (April 29, 2022): 1–10. http://dx.doi.org/10.1155/2022/3938321.

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Traceable ring signatures (TRS) can reveal the identity of the signer if he signs two different messages on the same tag in the group of users. They are widely used in e-voting and cryptocurrencies such as Monero. However, there is still no secure code-based TRS scheme in the random oracle model (ROM). In this paper, we propose a code-based TRS scheme whose security is based on the hardness of the syndrome decoding problem and 2-regular null syndrome decoding problem. We show that our scheme is secure in the ROM in terms of tag-linkability, anonymity, and culpability. The signature size of our

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Spinelli, Egle Müller, and Cássio Martinez. "O discurso financeiro em peças publicitárias de bancos brasileiros na era moderna." Signos do Consumo 16, no. 1 (2024): e223913. http://dx.doi.org/10.11606/issn.1984-5057.v16i1e223913.

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Este artigo tem como objetivo observar práticas de consumo com base no discurso de peças publicitária de instituições financeiras. Para tanto, conceituamos as relações de consumo com a modernidade para dar bases teóricas na condução de uma análise de discurso francesa a partir de três peças publicitárias de bancos nacionais veiculadas entre os anos de 1950 e 1970: Banco Cruzeiro do Sul, Casa Bancária Monero e União de Bancos Brasileiros. Nesse sentido, busca-se averiguar a impregnação do ethos de modernidade instituído pelo discurso publicitário dos bancos nos consumidores, com o intuito de co

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Ali, Zeravan Arif, and Adnan M. Abdulazeez. "Harnessing Machine Learning for Crypto-Currency Price Prediction: A Review." KUBIK: Jurnal Publikasi Ilmiah Matematika 9, no. 1 (2024): 114–31. http://dx.doi.org/10.15575/kubik.v9i1.33423.

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Despite their recent inception, cryptocurrencies have become globally recognized for their dispersal, diversity, and high market capitalization. This volatility developed into a challenge for investors looking to predict price movements. Thus, it has become an attractive investment opportunity. To increase prediction accuracy, researchers integrate machine learning algorithms with technical indicators. In this review, a systematic comparison has been employed to identify efficient algorithms, and researchers have employed statistical measures to make short- and long-term forecasts of decentral

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Lieberman, Marina. "Interview: JIS, José Ignacio Solorzano: strip cartoonist, drawer, artist." Tramas. Subjetividad y procesos sociales, no. 58 (June 1, 2022): 251–71. http://dx.doi.org/10.24275/tramas/uamx/202258251-272.

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Wang, Kun, Mingzhe Liu, Jianping Wang, Min Wu, and Feixiang Zhao. "BBARHS: Blockchain-Based Anonymous Ride-Hailing Scheme for Autonomous Taxi Network." Security and Communication Networks 2022 (August 9, 2022): 1–13. http://dx.doi.org/10.1155/2022/8296608.

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In the past few years, ride-hailing platforms such as Uber, Waymo, and Baidu have built their own autonomous taxi system. Unlike public transit services, ride-hailing platforms raise severe privacy issues. To provide excellent autonomous taxi service, some significant security and privacy problems must be addressed. In this study, we present the security and privacy threats and first proposed blockchain-based anonymous ride-hailing scheme (BBARHS) for autonomous taxi network. We give the formal system model and security model of BBARHS. Then, we outline the concrete BBARHS scheme by making use

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Będowska-Sójka, Barbara, Agata Kliber, and Aleksandra Rutkowska. "Is Bitcoin Still a King? Relationships between Prices, Volatility and Liquidity of Cryptocurrencies during the Pandemic." Entropy 23, no. 11 (2021): 1386. http://dx.doi.org/10.3390/e23111386.

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We try to establish the commonalities and leadership in the cryptocurrency markets by examining the mutual information and lead-lag relationships between Bitcoin and other cryptocurrencies from January 2019 to June 2021. We examine the transfer entropy between volatility and liquidity of seven highly capitalized cryptocurrencies in order to determine the potential direction of information flow. We find that cryptocurrencies are strongly interrelated in returns and volatility but less in liquidity. We show that smaller and younger cryptocurrencies (such as Ripple’s XRP or Litecoin) have started

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Hoffman, Gretchen K. "Geology and quality of Menefee Formation coals, Monero coal field, Rio Arriba County, New Mexico." New Mexico Geology 13, no. 1 (1991): 1–8. http://dx.doi.org/10.58799/nmg-v13n1.1.

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Dhande, Atharva, Shoumyadeep Dhani, Shivang Parnami, and K. P. Vijayakumar. "Cryptocurrency Price Prediction Using Linear Regression and Long Short-Term Memory (LSTM)." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 1591–98. http://dx.doi.org/10.22214/ijraset.2022.48286.

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Abstract: Predicting future events is difficult, particularly with regards to cryptocurrency, where the media, influential people and governments have a sharp and vital impact on worth. Cryptocurrency market analysis is a method through which the realworld data of the cryptocurrency market is used to predict where it will go next. If foretold accurately, it helps investors to invest when the value is low (purchasing in bulk when the price is dipping) and sell once it's high so as to gain a profit. This research provides two machine learning algorithms which are Long Short-Term Memory (LSTM) an

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Sengar, Harsh. "Solving the Mystery of Crypto’s Bubble." Ushus Journal of Business Management 19, no. 3 (2020): 25–39. http://dx.doi.org/10.12725/ujbm.52.2.

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Blockchain is the vehicle on which cryptocurrencies run, and it can’t be regulated by any legal entity during its operation.The huge growth in various cryptocurrency segments in 10 years has created the controversy of an inevitable bubble. A bubble can be generated either by queer herd behaviour or logical secular movement. Traces of evident bubbles have been a certainty and they take the perceived valuation of crypto to figures far away from its true value. This sudden diversion can be lethal due to the illogical, irrational propensity of regular market participants. This study observes ten c

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Jeribi, Ahmed, and Yasmin Snene Manzli. "Can cryptocurrencies be a safe haven during the novel COVID-19 pandemic? Evidence from the Tunisian Stock Market." Journal of Research in Emerging Markets 3, no. 1 (2020): 14–31. http://dx.doi.org/10.30585/jrems.v3i1.555.

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In this paper, we discuss the behavior of stock market returns in Tunisia during the COVID-19 outbreak. Using the OLS regression, we find that Bitcoin act as a hedge and Ethereum as a diversifier for Tunisia’s stock market before the COVID-19 outbreak; however, Bitcoin and Ethereum cannot generate benefits from portfolio diversification and hedging strategies for financial investors during the COVID-19. Moreover, Dash, Monero, and Ripple act as hedges before the COVID-19 outbreak and as diversifiers during this pandemic. Our results reveal that gold acts as a hedge and diversifier before the p

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Engelmann, Felix, Lukas Müller, Andreas Peter, Frank Kargl, and Christoph Bösch. "SwapCT: Swap Confidential Transactions for Privacy-Preserving Multi-Token Exchanges." Proceedings on Privacy Enhancing Technologies 2021, no. 4 (2021): 270–90. http://dx.doi.org/10.2478/popets-2021-0070.

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Abstract Decentralized token exchanges allow for secure trading of tokens without a trusted third party. However, decentralization is mostly achieved at the expense of transaction privacy. For a fair exchange, transactions must remain private to hide the participants and volumes while maintaining the possibility for noninteractive execution of trades. In this paper we present a swap confidential transaction system (SwapCT) which is related to ring confidential transactions (e.g. used in Monero) but supports multiple token types to trade among and enables secure, partial transactions for nonint

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Mariappan, L. Thanga, J. Arun Pandian, V. Dhilip Kumar, Oana Geman, Iuliana Chiuchisan, and Carmen Năstase. "A Forecasting Approach to Cryptocurrency Price Index Using Reinforcement Learning." Applied Sciences 13, no. 4 (2023): 2692. http://dx.doi.org/10.3390/app13042692.

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Cryptocurrency has emerged as a well-known significant component with both economic and financial potential in recent years. Unfortunately, Bitcoin acquisition is not simple, due to uneven business and significant rate fluctuations. Traditional approaches to price forecasting have proven incapable of proving adequate data and solutions because prices can now be forecast in real time. We recommended a machine learning-based alternative for a mortgage lender based on highlighted problems in forecasting the price of Bitcoin. The proposed system included a reinforcement learning algorithm for pric

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Gohwong, Srirath. "Thai Citizens and their roles in National Security of Thailand." Psychology and Education Journal 58, no. 2 (2021): 1838–53. http://dx.doi.org/10.17762/pae.v58i2.2341.

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The objective in this study was to investigate the state of art of Thai citizens and their roles in national security of Thailand. Documentary research was employed in this study. The findings revealed that Thai citizens played a big role as both supporters and objectors for national security of Thailand due to both external and internal changes. As supporters of Thai government’s jurisdiction, good citizens must comply with IT-related laws that allowed Ministry of Digital Economy and Society (MDES) and related authorized agencies that enhanced the level of controlling on data via surface web

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Hilmola, Olli-Pekka. "On Prices of Privacy Coins and Bitcoin." Journal of Risk and Financial Management 14, no. 8 (2021): 361. http://dx.doi.org/10.3390/jrfm14080361.

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Since the inauguration of cryptocurrencies, Bitcoin has been under pressure from competing tokens. As Bitcoin is a public open ledger blockchain coin, it has its weaknesses in privacy and anonymity. In the recent decade numerous coins have been initiated as privacy coins, which try to tackle these weaknesses. This research compares mostly mature privacy coins to Bitcoin, and comparison is made from a price perspective. It seems that Bitcoin is leading privacy coins in price terms, and correlation is typically high and positive. From the earlier crypto market peak of 2017–18, only a very small

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Susilo, Didik, Sugeng Wahyudi, Irene Rini Demi Pangestuti, Bayu Adi Nugroho, and Robiyanto Robiyanto. "Cryptocurrencies: Hedging Opportunities From Domestic Perspectives in Southeast Asia Emerging Markets." SAGE Open 10, no. 4 (2020): 215824402097160. http://dx.doi.org/10.1177/2158244020971609.

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Previous studies have shown that cryptocurrencies could hedge equities. However, most of those studies did not take into account the recent cryptocurrencies bubbles in 2018 and domestic currencies. Therefore, this research aimed to study whether the hedge effectiveness of cryptocurrencies still exists. This research used five cryptocurrencies (bitcoin, ethereum, monero, ripple, and litecoin), equity indices (Indonesia, Malaysia, Vietnam, Thailand, and the Philippines), and iShares ETF MSCI World (developed world). Commodities-based hedging using iShares S&P GSCI Commodity-Indexed Trust was

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Minaei, Mohsen, Pedro Moreno-Sanchez, and Aniket Kate. "MoneyMorph: Censorship Resistant Rendezvous using Permissionless Cryptocurrencies." Proceedings on Privacy Enhancing Technologies 2020, no. 3 (2020): 404–24. http://dx.doi.org/10.2478/popets-2020-0058.

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AbstractCryptocurrencies play a major role in the global financial ecosystem. Their presence across different geopolitical corridors, including in repressive regimes, has been one of their striking features. In this work, we leverage this feature for bootstrapping Censorship Resistant communication. We conceptualize the notion of stego-bootstrapping scheme and its security in terms of rareness and security against chosencovertext attacks. We present MoneyMorph, a provably secure stego-bootstrapping scheme using cryptocurrencies. MoneyMorph allows a censored user to interact with a decoder enti

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Mitrofan, Maria, Verginica Barbu Mititelu, and Grigorina Mitrofan. "Towards the Construction of a Gold Standard Biomedical Corpus for the Romanian Language." Data 3, no. 4 (2018): 53. http://dx.doi.org/10.3390/data3040053.

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Gold standard corpora (GSCs) are essential for the supervised training and evaluation of systems that perform natural language processing (NLP) tasks. Currently, most of the resources used in biomedical NLP tasks are mainly in English. Little effort has been reported for other languages including Romanian and, thus, access to such language resources is poor. In this paper, we present the construction of the first morphologically and terminologically annotated biomedical corpus of the Romanian language (MoNERo), meant to serve as a gold standard for biomedical part-of-speech (POS) tagging and b

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Jyoti, Aggarwal Reenu Batra. "REVIEW ON PRIVACY & SCALABILITY OF BLOCKCHAIN NETWORK." International Journal For Technological Research In Engineering 11, no. 8 (2024): 48–54. https://doi.org/10.5281/zenodo.11076119.

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Blockchain technology revolutionizes data security through decentralized blockchains, safeguarding transactions and documents. It offers enhanced security over outdated centralized systems and seamlessly transfers data across blocks for added protection. [1] Cryptocurrencies like Bitcoin showcase secure transactions within this network, extending to critical document and credential safeguarding in various sectors like healthcare, insurance, and energy. [2] Understanding blockchain involves vital data encapsulation within blocks, ensuring integrity through hash codes and referencing previous bl

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Ronge, Viktoria, Christoph Egger, Russell W. F. Lai, Dominique Schröder, and Hoover H. F. Yin. "Foundations of Ring Sampling." Proceedings on Privacy Enhancing Technologies 2021, no. 3 (2021): 265–88. http://dx.doi.org/10.2478/popets-2021-0047.

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Abstract A ring signature scheme allows the signer to sign on behalf of an ad hoc set of users, called a ring. The verifier can be convinced that a ring member signs, but cannot point to the exact signer. Ring signatures have become increasingly important today with their deployment in anonymous cryptocurrencies. Conventionally, it is implicitly assumed that all ring members are equally likely to be the signer. This assumption is generally false in reality, leading to various practical and devastating deanonymizing attacks in Monero, one of the largest anonymous cryptocurrencies. These attacks

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