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Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks

Ethereum network is a blockchain platform that allows users to use cryptocurrency transactions, create, and deploy decentralized applications using smart contracts. Several abnormal transactions came to light due to the existing attacks that targeted Ethereum, for instance, the Ethereum DAO attack,...

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Main Author: Mahmoud Al-Emari, Salam Radi
Format: Thesis
Language:English
Published: 2022
Subjects:
T1-995 Technology(General)
Online Access:http://eprints.usm.my/59295/1/24%20Pages%20from%20SALAM%20RADI%20MAHMOUD%20AL-E%27MARI%20-%20TESIS.pdf
http://eprints.usm.my/59295/
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spelling my.usm.eprints.59295 http://eprints.usm.my/59295/ Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks Mahmoud Al-Emari, Salam Radi T1-995 Technology(General) Ethereum network is a blockchain platform that allows users to use cryptocurrency transactions, create, and deploy decentralized applications using smart contracts. Several abnormal transactions came to light due to the existing attacks that targeted Ethereum, for instance, the Ethereum DAO attack, and malicious users might exploit and compromise the vulnerabilities in smart contracts, to steal amount of cryptocurrency or working for their own objectives through abnormal transactions. Therefore, detecting abnormal transactions initiated from these malicious users, implicated in fraudulent activities as well as attribution is excessively complex. However, malicious activities using cryptocurrency transactions, through pseudo-anonymous accounts for sending and receiving ransom payment, consolidation of funds heaped up under diverse identities; thus, controlling and detecting these abnormal transactions is a fundamental pre-requisite to ensure the high level of security in Ethereum network. 2022-04 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/59295/1/24%20Pages%20from%20SALAM%20RADI%20MAHMOUD%20AL-E%27MARI%20-%20TESIS.pdf Mahmoud Al-Emari, Salam Radi (2022) Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks. PhD thesis, Perpustakaan Hamzah Sendut.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T1-995 Technology(General)
spellingShingle T1-995 Technology(General)
Mahmoud Al-Emari, Salam Radi
Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
description Ethereum network is a blockchain platform that allows users to use cryptocurrency transactions, create, and deploy decentralized applications using smart contracts. Several abnormal transactions came to light due to the existing attacks that targeted Ethereum, for instance, the Ethereum DAO attack, and malicious users might exploit and compromise the vulnerabilities in smart contracts, to steal amount of cryptocurrency or working for their own objectives through abnormal transactions. Therefore, detecting abnormal transactions initiated from these malicious users, implicated in fraudulent activities as well as attribution is excessively complex. However, malicious activities using cryptocurrency transactions, through pseudo-anonymous accounts for sending and receiving ransom payment, consolidation of funds heaped up under diverse identities; thus, controlling and detecting these abnormal transactions is a fundamental pre-requisite to ensure the high level of security in Ethereum network.
format Thesis
author Mahmoud Al-Emari, Salam Radi
author_facet Mahmoud Al-Emari, Salam Radi
author_sort Mahmoud Al-Emari, Salam Radi
title Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
title_short Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
title_full Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
title_fullStr Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
title_full_unstemmed Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
title_sort abnormal transactions detection in the ethereum network using semi-supervised generative adversarial networks
publishDate 2022
url http://eprints.usm.my/59295/1/24%20Pages%20from%20SALAM%20RADI%20MAHMOUD%20AL-E%27MARI%20-%20TESIS.pdf
http://eprints.usm.my/59295/
_version_ 1775623445466316800
score 13.211869

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