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
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id	my-usm-ep.59295
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spelling	my-usm-ep.592952023-08-30T01:43:57Z Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks 2022-04 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 http://eprints.usm.my/59295/ http://eprints.usm.my/59295/1/24%20Pages%20from%20SALAM%20RADI%20MAHMOUD%20AL-E%27MARI%20-%20TESIS.pdf application/pdf en public phd doctoral Perpustakaan Hamzah Sendut Pusat Ipv6 Termaju Negara
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Perpustakaan Hamzah Sendut
granting_department	Pusat Ipv6 Termaju Negara
publishDate	2022
url	http://eprints.usm.my/59295/1/24%20Pages%20from%20SALAM%20RADI%20MAHMOUD%20AL-E%27MARI%20-%20TESIS.pdf
_version_	1776101281877721088

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

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