Applications of deep learning for phishing detection: a systematic literature review

C Catal, G Giray, B Tekinerdogan, S Kumar… - … and Information Systems, 2022 - Springer
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …

Cryptocurrencies and future financial crime

A Trozze, J Kamps, EA Akartuna, FJ Hetzel… - Crime Science, 2022 - Springer
Background Cryptocurrency fraud has become a growing global concern, with various
governments reporting an increase in the frequency of and losses from cryptocurrency …

Bitcoin: A safe haven asset and a winner amid political and economic uncertainties in the US?

M Umar, CW Su, SKA Rizvi, XF Shao - Technological Forecasting and …, 2021 - Elsevier
Bitcoin is considered to be an exclusive marvel of the Fourth Industrial Revolution, and is
one of the most sophisticated technological and financial products. It has long been a pivot …

Trade or trick? detecting and characterizing scam tokens on uniswap decentralized exchange

P **a, H Wang, B Gao, W Su, Z Yu, X Luo… - Proceedings of the …, 2021 - dl.acm.org
The prosperity of the cryptocurrency ecosystem drives the need for digital asset trading
platforms. Beyond centralized exchanges (CEXs), decentralized exchanges (DEXs) are …

Ai-powered fraud detection in decentralized finance: A project life cycle perspective

B Luo, Z Zhang, Q Wang, A Ke, S Lu, B He - ACM Computing Surveys, 2024 - dl.acm.org
Decentralized finance (DeFi) represents a novel financial system but faces significant fraud
challenges, leading to substantial losses. Recent advancements in artificial intelligence (AI) …

A systematic survey on security concerns in cryptocurrencies: State-of-the-art and perspectives

S Quamara, AK Singh - Computers & Security, 2022 - Elsevier
Cryptocurrencies are emerging as virtual financial systems based on their innovative
decentralized and distributed strategy in order to provide astonishing capabilities across a …

Cryptocurrencies emerging threats and defensive mechanisms: A systematic literature review

E Badawi, GV Jourdan - IEEE Access, 2020 - ieeexplore.ieee.org
Cryptocurrencies have been a target for cybercriminal activities because of the pseudo-
anonymity and privacy they offer. Researchers have been actively working on analyzing and …

[HTML][HTML] Crypto-Cognitive Exploitation: Integrating Cognitive, Social, and Technological perspectives on cryptocurrency fraud

A Perdana, HJ Jiow - Telematics and Informatics, 2024 - Elsevier
The rising prominence of cryptocurrency in global finance has unfortunately rendered it a
prime target for scams, leading to significant financial losses. This study employs Cognitive …

Applying artificial intelligence in cryptocurrency markets: A survey

R Amirzadeh, A Nazari, D Thiruvady - Algorithms, 2022 - mdpi.com
The total capital in cryptocurrency markets is around two trillion dollars in 2022, which is
almost the same as Apple's market capitalisation at the same time. Increasingly …

Who is who on Ethereum? Account labeling using heterophilic graph convolutional network

D Lin, J Wu, T Huang, K Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To combat cybercrimes and maintain financial security for the blockchain ecosystem,“know
your customer”(KYC) is an essential and also challenging process due to the pseudonymity …