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A Labeled Transactions-Based Dataset on the Ethereum Network

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Advances in Cyber Security (ACeS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1347))

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Abstract

A few datasets of blockchain networks are available to be used in evaluating intrusion detection systems, and some of the proposed detection systems are evaluated as self-generated blockchain transactions’ datasets. These blockchain datasets use an unsuitable representation, which mainly depends on transaction format, and they contain non-qualified transactions’ features that lead to increased false alarm rate if the detection system is deployed in real blockchain networks. Further, due to authors’ copyright and privacy constraints, most of the existing blockchain datasets are unavailable to be used by other researchers. The paper aims to provide a benchmark dataset of transactions-based dataset of Ethereum network for the tuning, assessing, and comparisons of any newly proposed intrusion detection system used in Blockchain networks. The proposed datasets setup is based on a real Ethereum network and ensures abnormal transaction exposure. The proposed blockchain transactions’ dataset will be publicly available and represented using a set of transactions-based features. The requirements of reliable and valid datasets have been met in the proposed transactions-based dataset to ensure its worthiness to be used by other researchers in the same field.

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Notes

  1. 1.

    https://cryptoScamDB.org.

  2. 2.

    https://www.kaggle.com/bigquery/crypto-ethereum-classic.

  3. 3.

    https://etherscamdb.info/.

  4. 4.

    https://github.com/MrLuit/EtherScamDB.

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Author information

Authors and Affiliations

  1. National Advanced IPv6 Centre of Excellence (NAv6), Universiti Sains Malaysia (USM), 11800, Gelugor, Penang, Malaysia

    Salam Al-E’mari, Mohammed Anbar, Yousef Sanjalawe & Selvakumar Manickam

  2. Computer Science Department, Northern Border University, Arar, Kingdom of Saudi Arabia

    Yousef Sanjalawe

Authors
  1. Salam Al-E’mari
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  2. Mohammed Anbar
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  3. Yousef Sanjalawe
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  4. Selvakumar Manickam
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Corresponding author

Correspondence to Salam Al-E’mari .

Editor information

Editors and Affiliations

  1. National Advanced IPv6 Centre, Universiti Sains Malaysia, Penang, Malaysia

    Mohammed Anbar

  2. Hodeidah University, Hodeidah, Yemen

    Nibras Abdullah

  3. National Advanced IPv6 Centre, Universiti Sains Malaysia, Penang, Malaysia

    Selvakumar Manickam

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Al-E’mari, S., Anbar, M., Sanjalawe, Y., Manickam, S. (2021). A Labeled Transactions-Based Dataset on the Ethereum Network. In: Anbar, M., Abdullah, N., Manickam, S. (eds) Advances in Cyber Security. ACeS 2020. Communications in Computer and Information Science, vol 1347. Springer, Singapore. https://doi.org/10.1007/978-981-33-6835-4_5

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  • DOI: https://doi.org/10.1007/978-981-33-6835-4_5

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