Copertina

PhishNet: A Phishing Website Detection Tool using XGBoost

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kumar, Prashant, Antony, Kevin, Banga, Deepakmoney, Sohal, Arshpreet
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
di: Dalton, Thomas, et al.
Pubblicazione: (2025)

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
di: Gopali, Saroj, et al.
Pubblicazione: (2024)

AntiPhishStack: LSTM-based Stacked Generalization Model for Optimized Phishing URL Detection
di: Aslam, Saba, et al.
Pubblicazione: (2024)

PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis
di: Islam, Md Robiul, et al.
Pubblicazione: (2024)

PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
di: Li, Wenhao, et al.
Pubblicazione: (2025)

PhishVQC: Optimizing Phishing URL Detection with Correlation Based Feature Selection and Variational Quantum Classifier
di: Shahriyar, Md. Farhan, et al.
Pubblicazione: (2025)

PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection
di: Li, Wenhao, et al.
Pubblicazione: (2025)

PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
di: Ovi, Md Sultanul Islam, et al.
Pubblicazione: (2024)

NoPhish: Efficient Chrome Extension for Phishing Detection Using Machine Learning Techniques
di: Thaqi, Leand, et al.
Pubblicazione: (2024)

Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions
di: Alghuried, Ahod, et al.
Pubblicazione: (2025)

PhishSnap: Image-Based Phishing Detection Using Perceptual Hashing
di: Minhaz, Md Abdul Ahad, et al.
Pubblicazione: (2025)

Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis
di: Alghureid, Ahod, et al.
Pubblicazione: (2024)

SecureNet: A Comparative Study of DeBERTa and Large Language Models for Phishing Detection
di: Mahendru, Sakshi, et al.
Pubblicazione: (2024)

Phishsense-1B: A Technical Perspective on an AI-Powered Phishing Detection Model
di: Blake, SE
Pubblicazione: (2025)

A Sophisticated Framework for the Accurate Detection of Phishing Websites
di: Newaz, Asif, et al.
Pubblicazione: (2024)

PhishIntentionLLM: Uncovering Phishing Website Intentions through Multi-Agent Retrieval-Augmented Generation
di: Li, Wenhao, et al.
Pubblicazione: (2025)

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
di: Li, Yuexin, et al.
Pubblicazione: (2024)

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features
di: Faisal, Aseer Al
Pubblicazione: (2025)

Can Features for Phishing URL Detection Be Trusted Across Diverse Datasets? A Case Study with Explainable AI
di: Mia, Maraz, et al.
Pubblicazione: (2024)

Position Paper: Think Globally, React Locally -- Bringing Real-time Reference-based Website Phishing Detection on macOS
di: Petrukha, Ivan, et al.
Pubblicazione: (2024)

A Lightweight Hybrid MLP-Based Framework for Real-Time Phishing URL Detection Using Structural URL Features
di: Emmanuel, Uche Unoke, et al.
Pubblicazione: (2026)

Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability
di: Kuikel, Shova, et al.
Pubblicazione: (2025)

Phishing Detection in the Gen-AI Era: Quantized LLMs vs Classical Models
di: Thapa, Jikesh, et al.
Pubblicazione: (2025)

Prompted Contextual Vectors for Spear-Phishing Detection
di: Nahmias, Daniel, et al.
Pubblicazione: (2024)

EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
di: Huang, Wei, et al.
Pubblicazione: (2025)

PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection
di: Cao, Tri, et al.
Pubblicazione: (2024)

Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector
di: Kulkarni, Aditya, et al.
Pubblicazione: (2025)

Web Phishing Net (WPN): A scalable machine learning approach for real-time phishing campaign detection
di: Zia, Muhammad Fahad, et al.
Pubblicazione: (2025)

An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
di: Uddin, Mohammad Amaz, et al.
Pubblicazione: (2024)

Every Character Counts: From Vulnerability to Defense in Phishing Detection
di: Chiper, Maria, et al.
Pubblicazione: (2025)

Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study
di: Hannousse, Abdelhakim, et al.
Pubblicazione: (2020)

Phishing Website Detection Using a Combined Model of ANN and LSTM
di: Farooq, Muhammad Shoaib, et al.
Pubblicazione: (2024)

Phishing Website Detection through Multi-Model Analysis of HTML Content
di: Çolhak, Furkan, et al.
Pubblicazione: (2024)

Explainable Transformer-Based Email Phishing Classification with Adversarial Robustness
di: P, Sajad U
Pubblicazione: (2025)

PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection
di: Li, Yuexin, et al.
Pubblicazione: (2024)

Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection
di: Song, Tailai, et al.
Pubblicazione: (2026)

PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
di: Roy, Sayak Saha, et al.
Pubblicazione: (2024)

Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails
di: Saka, Tarini, et al.
Pubblicazione: (2024)

SolPhishHunter: Towards Detecting and Understanding Phishing on Solana
di: Li, Ziwei, et al.
Pubblicazione: (2025)

A Large-Scale Analysis of Phishing Websites Hosted on Free Web Hosting Domains
di: Roy, Sayak Saha, et al.
Pubblicazione: (2022)