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Detection of phishing URLs using machine learning techniques

https://doi.org/10.1109/iccc.2013.6731669
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What this work says

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

inferredcites →https://doi.org/10.1145/1314389.1314391openalex-snapshot
A framework for detection and measurement of phishing attacks
inferredcites →https://doi.org/10.1145/1557019.1557153openalex-snapshot
Beyond blacklists
inferredcites →https://doi.org/10.1145/1961189.1961202openalex-snapshot
Learning to detect malicious URLs
inferredcites →https://doi.org/10.15623/ijret.2014.0306003openalex-snapshot
LEARNING TO DETECT PHISHING URLS

What points at this work

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

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A Briefed Review on Phishing Attacks and Detection Approaches
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Performance Analysis of Classifying URL Phishing Using Recursive Feature Elimination
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A Self-training Method for Detection of Phishing Websites
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Phishing Detection: Malicious and Benign Websites Classification Using Machine Learning Techniques
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Split Behavior of Supervised Machine Learning Algorithms for Phishing URL Detection
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Application and Analysis of Phishing Website Detection in Machine Learning and Neural Networks
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Novel Approach to Phishing Detection Using ML and Visual Similarity
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URL-Based Web Phishing Detection Using Machine Learning
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Optimizing Phishing Email Classification Through Scalable Feature Extraction Using MapReduce
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Phishing Text Email Detection by Natural Language Processing with Machine Learning
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Detection of Phishing Websites Using Machine Learning Algorithms
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A Novel Approach of Detecting Malicious Phishing URL Using Self-organizing Map
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Hybrid intelligent phishing website prediction using deep neural networks with genetic algorithm‐based feature selection and weighting
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URL phishing detection using machine learning
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Detection of phishing websites using a novel twofold ensemble model
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Enhanced Phishing Detection Using Gradient Boosting Classifier: A Machine Learning Approach
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URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection
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PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection
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Analytics: Key to Go from Generating Big Data to Deriving Business Value
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Study on Lexical Analysis of Malicious URLs using Machine Learning
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Phishing sites detection based on Url Correlation
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Data Science Analysis of Malicious Advertisements and Threat Detection Automation for Cybersecurity Progress
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Feature extraction and classification phishing websites based on URL
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Machine Learning Approach Based on Hybrid Features for Detection of Phishing URLs
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Phishion: Phishing Detection Application
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Social Media User’s Safety Level Detection through Classification via Clustering Approach
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A New Model for Simultaneous Detection of Phishing and Darknet Websites
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AI-Generated Phishing Email Detection using RoBERTa and Stylometric Ensemble Mode
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Detection of Phishing Websites from URLs by using Classification Techniques on WEKA
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Leveraging Artifact Reputation Analysis and Contextual Sentiment Analysis for Advanced Detection of Vishing and Smishing Attacks
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Prediction of Phishing Sites in Network using Naive Bayes compared over Random Forest with improved Accuracy
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Visualisation and Classification of Phishing URL using Ensemble Learning Algorithms and Hyper-Parameter Tuning
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EVALUATION OF CLASSIFICATION ALGORITHMS FOR PHISHING URL DETECTION
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An Analysis of Human-in-the-loop Approaches for Reverse Engineering Automation
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