Transaction-based classification and detection approach for Ethereum smart contract

Hu, Teng; Liu, Xiaolei; Chen, Ting; Zhang, Xiaosong; Huang, Xiaoming; Niu, Weina; Lu, Jiazhong; Zhou, Kun; Liu, Yuan

doi:10.1016/j.ipm.2020.102462

Cited by 151 publications

(58 citation statements)

References 16 publications

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“…Smart contracts provide a great deal of confidence as the blockchain has the property of irremovability. Ethereum [76] is one of the well-known blockchains, the largest platform for smart contracts [77]. More information regarding smart contracts is presented in [78].…”

Section: A Blockchain Technologymentioning

confidence: 99%

A Survey on Blockchain-Based IoMT Systems: Towards Scalability

Jolfaei

Aghili²,

Singelée

2021

IEEE Access

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Recently, blockchain-based Internet of Medical Things (IoMT) has started to receive more attention in the healthcare domain as it not only improves the care quality using real-time and continuous monitoring but also minimizes the cost of care. However, there is a clear trend to include many entities in IoMT systems, such as IoMT sensor nodes, IoT wearable medical devices, patients, healthcare centers, and insurance companies. This makes it challenging to design a blockchain framework for these systems where scalability is a most critical factor in blockchain technology. Motivated by this observation, in this survey we review the state-of-the-art in blockchain-IoMT systems. Comparison and analysis of such systems prove that there is a substantial gap, which is the negligence of scalability. In this survey, we discuss several approaches proposed in the literature to improve the scalability of blockchain technology, and thus overcoming the above mentioned research gap. These approaches include on-chain and off-chain techniques, based on which we give recommendations and directions to facilitate designing a scalable blockchain-based IoMT system. We also recommended that a designer considers the well-known trilemma along with the various dimensions of a scalable blockchain system to prevent sacrificing security and decentralization as well. Moreover, we raise several research questions regarding benchmarking; addressing these questions could help designers determining the existing bottlenecks, leading to a scalable blockchain.

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Section: A Blockchain Technologymentioning

confidence: 99%

A Survey on Blockchain-Based IoMT Systems: Towards Scalability

Jolfaei

Aghili²,

Singelée

2021

IEEE Access

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“…•Design a system based on Blockchain and smart contract [164] •The problem with smart contracts [165] a)…”

Section: E Future Research Directionsmentioning

confidence: 99%

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Luo

Bai

2021

IEEE Access

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As one of the disruptive technologies in the fourth industrial revolution, Blockchain has irrevocably changed how people live and work. Many scholars have studied the Blockchain, and the number of related publications has increased over time. Bibliometrics is an excellent method to study the development trend of a specific field. However, few scholars have used bibliometrics to research Blockchain; the inheritance and evolution among its different research themes have not yet been fully understood. This study emphasizes the scientific evolution and research focus of Blockchain through bibliometric analysis. We analyzed 2993 publications from 2014 to 2020 using co-word analysis and cluster analysis with bibliometric tools such as the SciMAT. The most productive author, country, institutions and leading research areas were identified, outlining the Blockchain field's fundamental developments. The results show the changes in keywords regarding Blockchain summarize the research hotspots in different periods. The study discusses the evolution process of various themes in each period, providing a meaningful reference for scholars to identify research hotspots and future research directions in the Blockchain field.

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“…Puri et al 100 proposed three policies for the IoT domain, Hardware and Device Security Policies, Access and Authentication policies, and Application security for the IoT network. Hu et al, 101 in order to prevent frauds in smart contracts, analyzed over 10 thousand smart contracts they collected on the Ethereum Blockchain network using LSTM method. Estevam et al 102 investigated the accuracy of time stamps and focused their efforts on both reducing costs and creating safer time stamps.…”

Section: Using Ai In Blockchain and Smart Contractsmentioning

confidence: 99%

A survey: Making “Smart Contracts” really smart

Timuçin

Biroğul

2021

Trans Emerging Tel Tech

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Blockchain technology is a distributed data recording system developed to monitor and secure all encrypted transactions with the shortest identification. Blockchain technology made a name for itself in 2008. However, the real development of this technology has been realized with use of smart contracts in Blockchain technology. In the cryptocurrency world, a smart contract can be defined as an application or program running on the Blockchain. They operate as digital deals that have to comply with certain rules. These rules are predetermined by computer codes and then copied and implemented by the servers in the entire network. The use of the word "smart" as a term in smart contracts comes from the fact that it is not made manually and is realized digitally. In this study, it is aimed to contribute to future studies in the transformation of smart contracts into real "smart" contract structures by applying artificial intelligence algorithms.

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Transaction-based classification and detection approach for Ethereum smart contract

Cited by 151 publications

References 16 publications

A Survey on Blockchain-Based IoMT Systems: Towards Scalability

A Survey on Blockchain-Based IoMT Systems: Towards Scalability

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

A survey: Making “Smart Contracts” really smart

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