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PhishTransformer: A Novel Approach to Detect Phishing Attacks Using URL Collection and Transformer

https://doi.org/10.3390/electronics13010030

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dac.853openalex-snapshot

Integration of mobility and intrusion detection for wirelessad hocnetworks

inferredcites →https://doi.org/10.1007/s00521-016-2275-yopenalex-snapshot

Fighting against phishing attacks: state of the art and future challenges

inferredcites →https://doi.org/10.1007/s11235-017-0414-0openalex-snapshot

Towards detection of phishing websites on client-side using machine learning based approach

inferredcites →https://doi.org/10.1016/j.comcom.2008.05.005openalex-snapshot

Virtual password using random linear functions for on-line services, ATM machines, and pervasive computing

inferredcites →https://doi.org/10.1109/access.2017.2743528openalex-snapshot

Phishing-Alarm: Robust and Efficient Phishing Detection via Page Component Similarity

inferredcites →https://doi.org/10.1109/access.2019.2920655openalex-snapshot

OFS-NN: An Effective Phishing Websites Detection Model Based on Optimal Feature Selection and Neural Network

inferredcites →https://doi.org/10.1109/access.2020.3043188openalex-snapshot

Web2Vec: Phishing Webpage Detection Method Based on Multidimensional Features Driven by Deep Learning

inferredcites →https://doi.org/10.1109/access.2021.3049625openalex-snapshot

Malicious URL Detection Based on a Parallel Neural Joint Model

inferredcites →https://doi.org/10.1109/access.2023.3237798openalex-snapshot

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

inferredcites →https://doi.org/10.1109/cvpr.2018.00572openalex-snapshot

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

inferredcites →https://doi.org/10.1109/ecrime.2017.7945048openalex-snapshot

Classifying phishing URLs using recurrent neural networks

inferredcites →https://doi.org/10.1109/icea.2019.8858325openalex-snapshot

A Phishing Detection System based on Machine Learning

inferredcites →https://doi.org/10.1109/jsyst.2012.2183755openalex-snapshot

Differentiated Virtual Passwords, Secret Little Functions, and Codebooks for Protecting Users From Password Theft

inferredcites →https://doi.org/10.1145/1755688.1755706openalex-snapshot

A solution for the automated detection of clickjacking attacks

inferredcites →https://doi.org/10.1504/ijsnet.2022.125113openalex-snapshot

Privacy preservation and security challenges: a new frontier multimodal machine learning research

inferredcites →https://doi.org/10.1504/ijsnet.2022.127841openalex-snapshot

Multi-applicable text classification based on deep neural network

inferredcites →https://doi.org/10.1504/ijsnet.2023.133249openalex-snapshot

Phishing detection model using feline finch optimisation-based LSTM classifier

inferredcites →https://doi.org/10.3390/fi12100168openalex-snapshot

Phishing Attacks Survey: Types, Vectors, and Technical Approaches

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-15764-5_33openalex-snapshot

Bidirectional GRU-Enhanced Deep Learning Framework for Reliable Classification of False Narratives

inferred← citeshttps://doi.org/10.1007/978-981-95-3543-9_27openalex-snapshot

UzPhishNet Model for Phishing Detection

inferred← citeshttps://doi.org/10.1007/s10207-026-01311-4openalex-snapshot

Semantic information from smashed data: text reconstruction attack on phishing detection models in split learning

inferred← citeshttps://doi.org/10.1007/s11235-025-01388-7openalex-snapshot

URLMoE: leveraging multi-head attention and expert specialization for robust malicious URL classification

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111001openalex-snapshot

Real-time phishing uniform resource locator detection based on hybrid embedding transformer and retraining-free inferencing

inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100810openalex-snapshot

From past to present: A survey of malicious URL detection techniques, datasets and code repositories

inferred← citeshttps://doi.org/10.1016/j.dib.2025.112162openalex-snapshot

A feature-engineered dataset of benign and phishing URLs for machine learning and large language models evaluation

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.113722openalex-snapshot

DeepURLGuard: A comprehensive bidirectional recurrent neural network for multiclass malicious uniform resource locator classification with advanced features and explainability

inferred← citeshttps://doi.org/10.1016/j.jisa.2026.104669openalex-snapshot

HiTPhish: A hierarchical transformer architecture for robust phishing detection

inferred← citeshttps://doi.org/10.1038/s41598-025-06530-8openalex-snapshot

Cacography based Ransomware Email Phishing Attack Prevention using Language Pack Tuned Transformer Language Model

inferred← citeshttps://doi.org/10.1038/s41598-025-27515-7openalex-snapshot

Phishing threat mitigation in E-commerce using a quantum-enhanced hybrid AI framework

inferred← citeshttps://doi.org/10.1093/comjnl/bxaf036openalex-snapshot

PHISH_ATTENTION: achieving robust phishing website detection with balanced datasets and advanced URL features

inferred← citeshttps://doi.org/10.1109/access.2025.3579584openalex-snapshot

Multimodal Phishing Detection on Social Networking Sites: A Systematic Review

inferred← citeshttps://doi.org/10.1109/access.2025.3601387openalex-snapshot

“Think Before You Click”—Malicious URL Detection in Cybersecurity: A Systematic Review and Research Roadmap

inferred← citeshttps://doi.org/10.1109/access.2025.3626819openalex-snapshot

Enhanced Phishing Detection Approach Using a Layered Model: Domain Squatting and URL Obfuscation Identification and Lexical Feature-Based Classification

inferred← citeshttps://doi.org/10.1109/cine63708.2024.10881521openalex-snapshot

A Comparative Study on Detecting Phishing URLs Leveraging Pre-trained BERT Variants

inferred← citeshttps://doi.org/10.1109/cisce69494.2026.11504951openalex-snapshot

A Multilingual Transformer Based Framework for Phishing Email Detection and Deployment in Real-World Pipelines

inferred← citeshttps://doi.org/10.1109/icaaic64647.2025.11330770openalex-snapshot

Real Time Phishing Site Detection Using Transformer Ensemble Models

inferred← citeshttps://doi.org/10.1109/icdsinc66221.2025.11448140openalex-snapshot

A Unified NLP Framework for Scalable Phishing Detection Across AI Systems

inferred← citeshttps://doi.org/10.1109/icirca69024.2026.11570545openalex-snapshot

APEM: An Advanced Phishing Ensemble Model for High-Accuracy Threat Detection

inferred← citeshttps://doi.org/10.1109/icngcs64900.2025.11183204openalex-snapshot

APS-Net+: A Real-Time Dual-Channel Phishing URL Detection Framework with Semantic Structural Fusion and Visual Similarity Indexing

inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485075openalex-snapshot

Multimodal Phishing Website Detection using Hybrid Deep Learning and Ensemble Techniques

inferred← citeshttps://doi.org/10.1109/idciot67589.2026.11455836openalex-snapshot

AI-Based Phishing Email and Link Detection Framework Through Generative AI and Explainable ML

inferred← citeshttps://doi.org/10.1109/iisa71656.2026.11705574openalex-snapshot

High-Throughput Semantic Embeddings for Real-Time Threat Campaigns

inferred← citeshttps://doi.org/10.1109/isctrkiye68593.2025.11224854openalex-snapshot

A Multi-Source Machine Learning Framework for Phishing E-Mail Detection Using TF-IDF Features

inferred← citeshttps://doi.org/10.1109/tencon66050.2025.11374958openalex-snapshot

Enhanced Phishing Payload Detection Using Fine-Tuned DistilBERT and XAI-Based NLP Models

inferred← citeshttps://doi.org/10.1145/3603287.3651193openalex-snapshot

Towards Improving Phishing Detection System Using Human in the Loop Deep Learning Model

inferred← citeshttps://doi.org/10.20944/preprints202404.0238.v1openalex-snapshot

Sectrabank Model to Mitigate Computer Fraud in Electronic Operations through Banking Applications on Android Devices

inferred← citeshttps://doi.org/10.26634/jcom.13.2.22310openalex-snapshot

Phishing website detection system using machine learning

inferred← citeshttps://doi.org/10.3389/frai.2025.1496580openalex-snapshot

AI in phishing detection: a bibliometric review

inferred← citeshttps://doi.org/10.3390/electronics13234677openalex-snapshot

Survey of Transformer-Based Malicious Software Detection Systems

inferred← citeshttps://doi.org/10.3390/electronics14071245openalex-snapshot

RansomFormer: A Cross-Modal Transformer Architecture for Ransomware Detection via the Fusion of Byte and API Features

inferred← citeshttps://doi.org/10.3390/make8010011openalex-snapshot

A Multimodal Phishing Website Detection System Using Explainable Artificial Intelligence Technologies

inferred← citeshttps://doi.org/10.3390/technologies14060316openalex-snapshot

MiniLM-CNN-LSTM: A Lightweight Hybrid Transformer Model for Malicious URL Detection

inferred← citeshttps://doi.org/10.7717/peerj-cs.4074openalex-snapshot

Robust phishing URL detection using FastText embeddings and deep sequential models

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