A systematic review on deep-learning-based phishing email detection

K Thakur, ML Ali, MA Obaidat, A Kamruzzaman - Electronics, 2023 - mdpi.com
Phishing attacks are a growing concern for individuals and organizations alike, with the
potential to cause significant financial and reputational damage. Traditional methods for …

Blockchain's double-edged sword: thematic review of illegal activities using blockchain

S Sangal, G Duggal, A Nigam - Journal of Information, Communication …, 2024 - emerald.com
Purpose The purpose of this research paper is to review and synthesize the role of
blockchain technology (BCT) in various types of illegal activities, including but not limited to …

Tracking phishing on Ethereum: Transaction network embedding approach for accounts representation learning

Z Lin, X Xiao, G Hu, Q Li, B Zhang, X Luo - Computers & Security, 2023 - Elsevier
The transaction volume of Ethereum has been witnessing a year-on-year increase, which
has unfortunately been accompanied by significant losses due to phishing scams. To …

Phishing scams detection via temporal graph attention network in Ethereum

L Wang, M Xu, H Cheng - Information Processing & Management, 2023 - Elsevier
Recently, phishing scams have become one of the most serious types of crime involved in
Ethereum, the second-largest blockchain-based cryptocurrency platform. The existing …

Application of an optimized PSO-BP neural network to the assessment and prediction of underground coal mine safety risk factors

DM Mulumba, J Liu, J Hao, Y Zheng, H Liu - Applied Sciences, 2023 - mdpi.com
Coal has played an important role in the economies of many countries worldwide, which has
resulted in increased surface and underground mining in countries with large coal reserves …

Detecting phishing accounts on Ethereum based on transaction records and EGAT

X Zhou, W Yang, X Tian - Electronics, 2023 - mdpi.com
In recent years, the losses caused by scams on Ethereum have reached a level that cannot
be ignored. As one of the most rampant crimes, phishing scams have caused a huge …

Investigation of phishing susceptibility with explainable artificial intelligence

Z Fan, W Li, KB Laskey, KC Chang - Future Internet, 2024 - mdpi.com
Phishing attacks represent a significant and growing threat in the digital world, affecting
individuals and organizations globally. Understanding the various factors that influence …

PhiUSIIL: A diverse security profile empowered phishing URL detection framework based on similarity index and incremental learning

A Prasad, S Chandra - Computers & Security, 2024 - Elsevier
With the proliferation of the World Wide Web and the increasing sophistication of cyber
threats, phishing attacks have emerged as a significant concern for individuals and …

Adaptive attention-based graph representation learning to detect phishing accounts on the Ethereum blockchain

H Sun, Z Liu, S Wang, H Wang - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
With Ethereum blockchain advancement, the Ethereum platform gathers numerous users. In
this context, traditional phishing appears new fraud methods, resulting in significant losses …

Multiscale Feature Fusion and Graph Convolutional Network for Detecting Ethereum Phishing Scams

Z Chen, J Huang, S Liu, H Long - Electronics, 2024 - mdpi.com
With the emergence of blockchain technology, the cryptocurrency market has experienced
significant growth in recent years, simultaneously fostering environments conducive to …