A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)

MA Elberri, Ü Tokeşer, J Rahebi… - International Journal of …, 2024 - Springer
Phishing attacks pose a significant threat to online security, utilizing fake websites to steal
sensitive user information. Deep learning techniques, particularly convolutional neural …

Phishing web page detection using web scraping

M Boyapati, R Aygun - SoutheastCon 2023, 2023 - ieeexplore.ieee.org
In today's Internet era, webpages act as major user interfaces for the applications hosted by
the organizations. One of the most common security attacks on the web page applications is …

Deep learning based phishing website detection

N Subhashini, A Banerjee, A Kumar… - TELKOMNIKA …, 2024 - telkomnika.uad.ac.id
Phishing attacks use fraudulent websites that trick people into disclosing sensitive
information. More effective and precise methods are required to identify phishing websites …

DRSDetector: Detecting Gambling Websites by Multi-level Feature Fusion

Y Zhang, X Fu, R Yang, Y Li - 2023 IEEE Symposium on …, 2023 - ieeexplore.ieee.org
With the development of the Internet, online gambling has gradually replaced the traditional
way of gambling and became a popular way of making money for illegal organizations. In …

Real-Time Phishing Detection Based on URL Multi-Perspective Features: Aiming at the Real Web Environment

S Liu, H Wu, G Cheng, X Hu - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
Phishing deceives users' trust through subtle URL and HTML disguises, stealing sensitive
data or spreading malicious viruses. Phishing detection from URLs has been the focus of …

[PDF][PDF] Understanding and Analyzing Appraisal Systems in the Underground Marketplaces

Z Li, X Liao - xiaojingliao.com
An appraisal system is a feedback mechanism that has gained popularity in underground
marketplaces. This system allows appraisers, who receive free samples from vendors, to …