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GrabPhisher: Phishing Scams Detection in Ethereum via Temporally Evolving GNNs

IEEE Transactions on Services Computing
Phishing scams are one of Ethereum's most representative security risks that can defraud many transactions in a short period and severely threaten network security.
Jiale Zhang   +5 more
semanticscholar   +1 more source

Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques

IEEE Communications Surveys and Tutorials
In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers employ various tactics to deceive users into gathering their sensitive information, potentially leading to identity theft or financial gain. Researchers have been
Aditya Kulkarni   +2 more
semanticscholar   +1 more source

Spear Phishing Detection

2022
Shibayan Mondal   +4 more
openaire   +1 more source

Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection

Applied Sciences
In recent years, the importance of computer security has increased due to the rapid advancement of digital technology, widespread Internet use, and increased sophistication of cyberattacks.
Emre Kocyigit   +3 more
semanticscholar   +1 more source

URL BASED PHISHING DETECTION

International Scientific Journal of Engineering and Management
Phishing attacks, which deceive users into revealing sensitive information by mimicking legitimate websites, pose a growing threat in the digital age. To address this challenge, we propose a machine learning- based system for detecting phishing URLs.
Ms.MADHU T, Ms. MONICA M, Ms. SHYMA S
openaire   +1 more source

Phishing detection using GNN

2023
Els atacs de phishing representen una amenaça significativa tant per a individus com organitzacions, ja que sovint passen desapercebuts a causa de la seva habilitat per enganyar les víctimes. Tot i que s'han desenvolupat diverses tècniques per detectar aquests atacs, incloent mètodes d'aprenentatge automàtic, aquests solen limitar-se a analitzar el ...
openaire   +1 more source

Phish-armour: phishing detection using deep recurrent neural networks

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2023
P. Dhanavanthini, S. S. Chakkravarthy
semanticscholar   +1 more source

Improving Messenger Phishing Detection Using Heterogeneous Phishing Data

2025 International Conference on Electronics, Information, and Communication (ICEIC)
Seokjin Oh   +4 more
openaire   +1 more source

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