A phishing-attack-detection model using natural language processing and deep learning
Phishing is a type of cyber-attack that aims to deceive users, usually using fraudulent web
pages that appear legitimate. Currently, one of the most-common ways to detect these …
pages that appear legitimate. Currently, one of the most-common ways to detect these …
[HTML][HTML] The applicability of a hybrid framework for automated phishing detection
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …
landscape. As cybercriminals continually adapt their techniques, automated phishing …
A Good Fishman Knows All the Angles: A Critical Evaluation of Google's Phishing Page Classifier
Phishing is one of the most popular cyberspace attacks. Phishing detection has been
integrated into mainstream browsers to provide online protection. The phishing detector of …
integrated into mainstream browsers to provide online protection. The phishing detector of …
A review of advancements and applications of pre-trained language models in cybersecurity
Z Liu - 2024 12th International Symposium on Digital …, 2024 - ieeexplore.ieee.org
In this paper, we delve into the transformative role of pre-trained language models (PLMs) in
cybersecurity, offering a comprehensive examination of their deployment across a wide …
cybersecurity, offering a comprehensive examination of their deployment across a wide …
URL based phishing attack detection using BiLSTM-gated highway attention block convolutional neural network
M Nanda, S Goel - Multimedia Tools and Applications, 2024 - Springer
Phishing is an attack that attempts to replicate the official websites of businesses, including
government agencies, financial institutions, e-commerce platforms, and banks. These …
government agencies, financial institutions, e-commerce platforms, and banks. These …
Enhanced Phishing URL Detection Using Leveraging BERT with Additional URL Feature Extraction
Threats, including phishing, are still a widespread and growing problem in today's digital
society because fraudsters use increasingly complex techniques to deceive users and gain …
society because fraudsters use increasingly complex techniques to deceive users and gain …
A deep learning mechanism to detect phishing URLs using the permutation importance method and SMOTE-Tomek link
In contemporary times, the proliferation of phishing attacks presents a substantial and
growing challenge to cybersecurity. This fraudulent tactic is designed to deceive …
growing challenge to cybersecurity. This fraudulent tactic is designed to deceive …
A Permutaion Importance Based feature selection method and Deep Learning Model to Detect Phishing Websites
Phishing attacks pose a significant and escalating threat to cybersecurity in recent times.
This deceptive scam aims to trick naive users, luring them into visiting harmful websites and …
This deceptive scam aims to trick naive users, luring them into visiting harmful websites and …
NDLP Phishing: A Fine-Tuned Application to Detect Phishing Attacks Based on Natural Language Processing and Deep Learning.
E BenavidesAstudillo, W Fuertes… - … of Interactive Mobile …, 2024 - search.ebscohost.com
Phishing is a cyberattack that aims to deceive and harm users socially or economically. The
most elaborate method to carry out this type of attack is through phishing web pages. For an …
most elaborate method to carry out this type of attack is through phishing web pages. For an …
SecureReg: A Combined Framework for Proactively Exposing Malicious Domain Name Registrations
Rising cyber threats, with miscreants registering thousands of new domains daily for Internet-
scale attacks like spam, phishing, and drive-by downloads, emphasize the need for …
scale attacks like spam, phishing, and drive-by downloads, emphasize the need for …