A Labeled Transactions-Based Dataset on the Ethereum Network

Al-Emari, Salam; Anbar, Mohammed; Sanjalawe, Yousef K.; Manickam, Selvakumar

doi:10.1007/978-981-33-6835-4_5

Cited by 15 publications

(6 citation statements)

References 31 publications

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“…Benchmark Labelled Transactions Ethereum (BLTE) is a benchmark dataset that gathers based on a real Ethereum network called Ethereum Classic (ETC) network [24], and it is a real chain, public, open-source, and distributed platform. ETC has many tables, but ATD-SGAN chooses the Transactions table with seventeen features as shown in Fig 5 . These transactions are performed by EOA which deals with external transactions and records them on blockchain to exchange cryptocurrency transactions [25].…”

Section: A Blte Datasetmentioning

confidence: 99%

Abnormal Transactions Detection in the Ethereum Network Using Semi-Supervised Generative Adversarial Networks

Sanjalawe,

Al-E’mari

2023

IEEE Access

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Numerous abnormal transactions have been exposed as a result of targeted attacks on Ethereum, such as the Ethereum Decentralized Autonomous Organization attack. Exploiting vulnerabilities in smart contracts, malicious users can pursue their own illicit objectives through abnormal transactions. Consequently, identifying these malevolent users, implicated in fraudulent activities and their attribution, becomes exceedingly complex. Cryptocurrency transactions used for malicious purposes, employing pseudo-anonymous accounts to send and receive ransom payments and accumulating funds under various identities, further highlight the need to control and detect these abnormal transactions for maintaining a high level of security within the Ethereum network. Although existing Intrusion Detection Systems (IDSs) help mitigate abnormal transaction occurrences, their performance necessitates improvement. To address this issue, this study presents a novel approach, named Abnormal Transactions Detection Using a Semi-Supervised Generative Adversarial Network (ATD-SGAN), which efficiently detects abnormal attacks within the Ethereum network. ATD-SGAN leverages a semi-supervised generative adversarial network for this purpose. The results demonstrate that ATD-SGAN significantly enhances the performance of state-ofthe-art IDSs. It achieves an increase in detection accuracy from 3.78% to 11.05% and reduces the false alarm rate from 42.29% to 0.15%. Moreover, ATD-SGAN notably improves the F1-measure, ranging from 10.39% to 3.79%, compared to the current IDSs.

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Section: A Blte Datasetmentioning

confidence: 99%

Abnormal Transactions Detection in the Ethereum Network Using Semi-Supervised Generative Adversarial Networks

Sanjalawe,

Al-E’mari

2023

IEEE Access

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“…Executing such instructions on the EVM requires a certain gas amount, and execution will be terminated when the gas ends. To run smart contracts and pay for the computational cost, like CPU and energy, the user of EVM fills gas with Ether [15].…”

Section: Ethereum Virtual Machine (Evm)mentioning

confidence: 99%

E-voting System Based on Ethereum Blockchain Technology Using Ganache and Remix Environments

Hassan¹,

Hassan²,

Gbashi³

2023

ETJ

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 A smart contract-based blockchain-based eelection system that operates on Ethereum and provides a set of rules for communication and contract decision-making among participants.  Blockchain technology has the potential to move beyond the constraints of centralized voting systems, demonstrating that it is not only quick and cheap but also safe and secure.  Ganache, the Truffle framework, NPM, metamask, and Remix ide were among the technologies utilized in this project.

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“…Therefore, the existing models have been proposed for various network architectures. Lastly, we note that the distributed system has four main architectures: (i) clientserver, (ii) three-tier, (iii) n-tier, and (iv) peer-to-peer [83][84][85].…”

Section: Analysis Of Blockchain-ids Modelsmentioning

confidence: 99%

Intrusion Detection Systems Using Blockchain Technology: A Review, Issues and Challenges

Al-Emari¹,

Anbar²,

Sanjalawe³

et al. 2022

Computer Systems Science and Engineering

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Intrusion detection systems that have emerged in recent decades can identify a variety of malicious attacks that target networks by employing several detection approaches. However, the current approaches have challenges in detecting intrusions, which may affect the performance of the overall detection system as well as network performance. For the time being, one of the most important creative technological advancements that plays a significant role in the professional world today is blockchain technology. Blockchain technology moves in the direction of persistent revolution and change. It is a chain of blocks that covers information and maintains trust between individuals no matter how far apart they are. Recently, blockchain was integrated into intrusion detection systems to enhance their overall performance. Blockchain has also been adopted in healthcare, supply chain management, and the Internet of Things. Blockchain uses robust cryptography with private and public keys, and it has numerous properties that have leveraged security's performance over peer-to-peer networks without the need for a third party. To explore and highlight the importance of integrating blockchain with intrusion detection systems, this paper provides a comprehensive background of intrusion detection systems and blockchain technology. Furthermore, a comprehensive review of emerging intrusion detection systems based on blockchain technology is presented. Finally, this paper suggests important future research directions and trending topics in intrusion detection systems based on blockchain technology.

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A Labeled Transactions-Based Dataset on the Ethereum Network

Cited by 15 publications

References 31 publications

Abnormal Transactions Detection in the Ethereum Network Using Semi-Supervised Generative Adversarial Networks

Abnormal Transactions Detection in the Ethereum Network Using Semi-Supervised Generative Adversarial Networks

E-voting System Based on Ethereum Blockchain Technology Using Ganache and Remix Environments

Intrusion Detection Systems Using Blockchain Technology: A Review, Issues and Challenges

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