Follow blockchain research across journals, conferences, and preprint repositories.
13,493 results · page 363 of 563
Mustafa Raza Rabbani, M. Kabir Hassan, Fahmi Ali Hudaefi, Zakir Hossen Shaikh
No abstract is available for this record.
Jinan Liu, Victor J. Valcarcel
No abstract is available for this record.
Amirhossein Nikzad, Mahmood Mehregan
No abstract is available for this record.
C. Devi Parameswari, M. Ilayaraja
No abstract is available for this record.
Przemysław Rodwald
No abstract is available for this record.
Ke Zhou, Jieren Cheng, Le Liu, Victor S. Sheng
No abstract is available for this record.
Sayan Mondal, Rajat Kumar Behera
No abstract is available for this record.
Emanuel Onica, Ciprian Amariei
Decentralized applications (DApps) gained traction in the context of the blockchain technology. Ethereum is currently the public blockchain that backs the largest amount of the existing DApps. Onboarding new users to Ethereum DApps is a notoriously hard issue to solve. This is mainly caused by lack of cryptocurrency ownership, needed for transaction fees. Several meta-transaction patterns emerged for decoupling users from paying these fees. However, such solutions are mostly offered via off-chain, often paid relayer services and do not fully address the security issues present in the meta-transaction path. In this paper, we introduce a new meta-transaction architecture that makes use of the Intel Software Guard Extensions (SGX). Unlike other solutions, our approach would offer the possibility to deploy a fee-free Ethereum DApp on a web server that can directly relay meta-transactions to the Ethereum network while having essential security guarantees integrated by design.
Dylan Paulin, Christine Hennebert, Thibault Franco-Rondisson, Romain Jayles · 6 authors
No abstract is available for this record.
Ivana PRISLUPČÁKOVÁ
the phenomenon of cryptocurrencies has become one of the most controversial topics in the last few years, both among the professional public in economics and finance and among ordinary people who trust and invest in them.The main goal of the work is to find out the correlation between stablecoins that failed and did not maintain the promised stability around their peg and prominent cryptocurrencies with a large market capitalization, namely Bitcoin and Ethereum.The task is to find out the connection of stablecoins to significant cryptocurrencies.With a high correlation, these stablecoins cannot be stable if they are connected to a highly volatile asset.Price movement data of selected cryptocurrencies are used with a daily resolution from freely available portals. the correlation is calculated based on the primary return indicator and the Pearson correlation coefficient.The calculations show that the returns of Qcash and nuBits cryptocurrencies are correlated with Bitcoin and ethereum, and this correlation was not confirmed for the other studied failed stablecoins.
Xiangyu Li, Xinyu Wang, Tingli Kong, Junhao Zheng · 5 authors
This survey presents a comprehensive study of recent advances in block-chain technologies, focusing on how issues that affecting the enterprise adoption were progressively addressed from the original Bitcoin system to Ethereum, to Solana etc. Key issues preventing the wide adoption are scala-bility and performance, while recent advances in Solana has clearly demon-strated that it is possible to significantly improve on those issues by innovat-ing on data structure, processes and algorithms by consolidating various time-consuming algorithms and security enforcements, and differentiate and balance users and their responsibilities and rights, while maintaining the re-quired security and integrity that blockchain systems inherently offer.
Pratyush Kumar Patro, Raja Jayaraman, Khaled Salah, Ibrar Yaqoob
Efficient traceability management is necessary for managing products in the fishery supply chain. Any negligence in products’ traceability can result in food fraud that may adversely affect the consumer’s health. Monitoring and tracking of the fishery supply chain operations can assist system stakeholders in identifying the origins and causes of product fraud and malpractice. Most of the existing systems and technologies used to manage the fishery supply chain processes fall short of providing traceability, accountability, transparency, reliability, trust, privacy, and security features. In this paper, we propose a private Ethereum blockchain-based solution to efficiently manage the fishery supply chain operations in a manner that is decentralized, transparent, traceable, secure, private, and trustworthy. We present the solution architecture and propose five smart contracts to automate the processes in fishery supply chain. We present ten algorithms along with their full implementation, testing, and validation details. We conduct a security analysis to show that the proposed solution is both secure and trustworthy. We compare our solution with the existing blockchain and non-blockchain-based solutions to show its effectiveness and novelty. We make the smart contract code publicly available on GitHub.
Pasquale De Rosa, Valerio Schiavoni
Crypto-coins (also known as cryptocurrencies) are tradable digital assets. Notable examples include Bitcoin, Ether and Litecoin. Ownerships of cryptocoins are registered on distributed ledgers (i.e., blockchains). Secure encryption techniques guarantee the security of the transactions (transfers of coins across owners), registered into the ledger. Cryptocoins are exchanged for specific trading prices. While history has shown the extreme volatility of such trading prices across all different sets of crypto-assets, it remains unclear what and if there are tight relations between the trading prices of different cryptocoins. Major coin exchanges (i.e., Coinbase) provide trend correlation indicators to coin owners, suggesting possible acquisitions or sells. However, these correlations remain largely unvalidated. In this paper, we shed lights on the trend correlations across a large variety of cryptocoins, by investigating their coin-price correlation trends over a period of two years. Our experimental results suggest strong correlation patterns between main coins (Ethereum, Bitcoin) and alt-coins. We believe our study can support forecasting techniques for time-series modeling in the context of crypto-coins. We release our dataset and code to reproduce our analysis to the research community.
Henrik Axelsen, Omri Ross
No abstract is available for this record.
Yu Jiang, Xiaolong Xu, Honghao Gao, Adel Rajab · 6 authors
Blockchain can help edge IoT-enabled Maritime Transportation Systems (MTS) in solving its privacy and security problems. In this paper, a lightweight blockchain called LBlockchainE is designed for edge IoT-enabled MTS to guarantee the security of sensor data stored in an edge computing environment. To save the resources of edge servers on ship, a data placement strategy is proposed. To encourage edge servers to positively contribute to storing data generated by sensor devices, storage resource consumption is employed as an influencing parameter, and servers with abundant resources are selected for priority storage. The data placement strategy also takes care of the access delay between servers and selects the nodes with the least access and storage costs as the priority storage choice. LBlockchainE applies the low-energy-consumption characteristics of Proof of Stake to determine the ownership of bookkeeping rights through a small number of competitive calculations and the resources of the node. Experimental results indicate that compared with Ethereum, the consensus mechanism of LBlockchainE consumes less energy and occupies less storage space. On average, the new system uses 1.6% less time and consumes 78% less battery power compared with traditional blockchain systems. In comparison to the random storage, the best storage, and the optimal data storage strategies, the proposed strategy maintains the same message costs.
Abhinav Yadav, Amrit Kanoi, Ramani Selvanambi
Blockchain is one of the technologies that is gaining significant attention within the healthcare industry. In order for blockchain to reach its full potential, it's essential that governments and public institutions map the blockchain ecosystem and establish a blockchain framework for coordinating early adopters. The authors have proposed a web-based application using blockchain with security algorithms to store patients' and other users' details who sign up on the website. Blockchain is highly secure as any tampering with data in any block is not possible. Blockchain attributes ensure smooth interaction between different applications and systems along the availability chain. They also reward the patient with their own implemented bitcoin on their transaction. Ethereum library Web3 is used to make a complete decentralized peer-to-peer chat service without any involvement of a third party. The application will be able to send encrypted messages both securely and anonymously. Blockchain technology has been seeing widespread interest as a means to ensure the CIA triad in fewer environments.
Xiaoyin Wang, Jiaze Sun, Chunyang Hu, Panpan Yu · 6 authors
With the development of Internet of Things technology, the use of Internet of Things is expanding, and its security risk will become an important factor restricting the development of Internet of Things technology. The application of blockchain technology in the security field of the Internet of Things can improve security problems, and the blockchain has immutable characteristics. Therefore, it is particularly important to ensure the security of blockchain smart contracts. However, the order of transaction in smart contracts is easy to be operated by miners, and there is a relative lack of tools to detect TOD (transaction‐ordering dependent) vulnerabilities. The current smart contract vulnerability detection methods have the problems of low efficiency and low accuracy. Therefore, based on the study of TOD vulnerability principle, this paper creatively highlights a mutation fuzzy testing method EtherFuzz to specifically detect TOD vulnerability in smart contracts. Use the intelligent contract ABI (application binary interface) to generate test cases, test the byte code of the intelligent contract, use TOD to test oracle to detect TOD vulnerabilities, and then, mutate the tested data to generate new test cases. Finally, the behavior of smart contract operation is recorded, and the fuzzy test process is controlled until the vulnerability is detected. The experimental results show that when 987 token contracts are selected as Ethereum test objects, the false‐positive rate, detection time overhead, and detection storage overhead of EtherFuzz are reduced by 74.4%, 30.1%, and 28.1%, respectively. Therefore, EtherFuzz has high speed, efficiency, and accuracy in detecting TOD vulnerabilities and has excellent application value.
ike, BarefootDev
The Ethereum blockchain permits the development and deployment of smart contracts which can store and execute code 'on-chain' - that is, entirely on nodes in the blockchain's network. Smart contracts have traditionally been used for financial purposes, but since smart contracts are Turing-complete, their algorithmic scope is broader than any single domain. To that end, we design, develop, and deploy a comprehensive 3D rendering engine programmed entirely in Ethereum smart contracts, called Shackled. Shackled computes a 2D image from a 3D scene, executing every single computation on-chain, on Ethereum. To our knowledge, Shackled is the first and only fully on-chain 3D rendering engine for Ethereum. In this work, we 1) provide three unique datasets for the purpose of using and benchmarking Shackled, 2) execute said benchmarks and provide results, 3) demonstrate a potential use case of Shackled in the domain of tokenised generative art, 4) provide a no-code user interface to Shackled, 5) enumerate the challenges associated with programming complex algorithms in Solidity smart contracts, and 6) outline potential directions for improving the Shackled platform. It is our hope that this work increases the Ethereum blockchain's native graphics processing capabilities, and that it enables increased use of smart contracts for more complex algorithms, thus increasing the overall richness of the Ethereum ecosystem.
Srinjoy Mahato, Tanmoy Khatua, Tathagata Roy Chowdhury
Here we discuss about different cryptocurrencies those are very much important in network security market. As we know cryptocurrencies are digital assets which can be designed to work as exchange that can use strong cryptography to protect all the transactions, here the main Two aspects of those: Bitcoin and Ethereum, is discussed with their all functionalities, their methods of work, their advantages over each and other and more over their concepts of architecture.
Yanyu Chen, Zhangjie Fu
As a typical representative of web 2.0, Ethereum has significantly boosted the development of blockchain finance. However, due to the anonymity and financial attributes of Ethereum, the number of phishing scams is increasing rapidly and causing massive losses, which poses a serious threat to blockchain financial security. Phishing scam address identification enables to detect phishing scam addresses and alerts users to reduce losses. However, there are three primary challenges in phishing scam address recognition task: 1) the lack of publicly available large datasets of phishing scam address transactions; 2) the use of multi-order transaction information requires a large number of queries and computations; and 3) the extraction of phishing scam address features relies on machine learning methods excessively, which leads to the loss of practical meaning and is harmful to the research of phishing scam addresses. This paper proposes a systematic phishing scam address recognition scheme, to simultaneously overcome the three challenges in phishing scam address recognition. In this paper, a systematic phishing scam address recognition scheme is proposed to addresses these issues. Specifically, due to the insufficient number of address tagged in the existing publicly available Ethereum phishing scam address transaction dataset, we first construct a transaction dataset involving over 10000 tagged addresses. To the best of our knowledge, this is the largest dataset of tagged addresses for Ethereum phishing scam detection. Then, we design a new heuristic rule to implement feature extraction of address nodes by analysing the traditional financial involved accounts combined with information specific to Ethernet transactions. After that, a novel adaptive feature importance filtering method is designed to adaptively adjust the filtering threshold based on the final classification results, which reduce the feature dimensionality while ensuring a certain detection performance. Finally, random forest is used to classify whether the addresses is a phishing scam address or not. Extensive experiments on real Ethereum datasets show that our approach (98.89% Precision, 98.35% Recall, 98.62% F1) achieves state-of-the-art performance.
Yazeed Essam Khaled Althunibat
The Non-Fungible Token (NFT) market has been exploding in the past years. The notion of NFT originated with Ethereum's token standard, which aimed to differentiate each token using distinguishing signals. Tokens of this type can be associated with virtual or digital properties to serve as unique identifiers. Using NFTs Non-Fungible Token (NFT) is a new technology gaining traction in the Blockchain industry. In this article, we examine state-of the art NFT systems that have the potential to reshape the market for digital virtual assets. We will assess the security of existing NFT systems and expand on the opportunities and prospective uses for the NFT idea. Finally, we discuss existing research challenges that must be overcome before mass-market penetration may occur. We hope that this paper provides an up-to-date analysis and summary of existing and proposed solutions and projects, making it easier for newcomers to stay current.
Kshitij Dhyani, Jahnavi Mishra, Subhra Paladhi, I. Sumaiya Thaseen
No abstract is available for this record.
Davi Pedro Bauer
Nethereum is an open source .NET integration library for Ethereum that simplifies smart contract maintenance and interaction with public and private Ethereum nodes. This framework exposes a Web3 class where it is possible to interact with methods of wallets or smart contracts. In the example that you will see in this chapter, you will use the GetBalance method of a wallet to find out its balance.
Brian Sanya Mondoh, Sara M. Johnson, Matthew Green, Aris Georgopoulos
No abstract is available for this record.