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Learning to detect malicious URLs

https://doi.org/10.1145/1961189.1961202

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-75894-2openalex-snapshot

Adaptive Algorithms and Stochastic Approximations

inferredcites →https://doi.org/10.1037/h0042519openalex-snapshot

The perceptron: A probabilistic model for information storage and organization in the brain.

inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot

Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002

inferredcites →https://doi.org/10.1109/icdm.2003.1250950openalex-snapshot

Cost-sensitive learning by cost-proportionate example weighting

inferredcites →https://doi.org/10.1109/malware.2008.4690858openalex-snapshot

Shades of grey: On the effectiveness of reputation-based “blacklists”

inferredcites →https://doi.org/10.1137/060666998openalex-snapshot

The Forgetron: A Kernel-Based Perceptron on a Budget

inferredcites →https://doi.org/10.1145/1099554.1099649openalex-snapshot

Fast webpage classification using URL features

inferredcites →https://doi.org/10.1145/1242572.1242659openalex-snapshot

Cantina

inferredcites →https://doi.org/10.1145/1242572.1242660openalex-snapshot

Learning to detect phishing emails

inferredcites →https://doi.org/10.1145/1299015.1299021openalex-snapshot

A comparison of machine learning techniques for phishing detection

inferredcites →https://doi.org/10.1145/1314389.1314391openalex-snapshot

A framework for detection and measurement of phishing attacks

inferredcites →https://doi.org/10.1145/1390156.1390190openalex-snapshot

Confidence-weighted linear classification

inferredcites →https://doi.org/10.1145/1390156.1390247openalex-snapshot

The projectron

inferredcites →https://doi.org/10.1145/1553374.1553462openalex-snapshot

Identifying suspicious URLs

inferredcites →https://doi.org/10.1145/1557019.1557153openalex-snapshot

Beyond blacklists

inferredcites →https://doi.org/10.17487/rfc1034openalex-snapshot

Domain names - concepts and facilities

inferredcites →https://doi.org/10.17487/rfc1035openalex-snapshot

Domain names - implementation and specification

inferredcites →https://doi.org/10.17487/rfc1531openalex-snapshot

Dynamic Host Configuration Protocol

inferredcites →https://doi.org/10.17487/rfc2131openalex-snapshot

Dynamic Host Configuration Protocol

inferredcites →https://doi.org/10.17487/rfc2460openalex-snapshot

Internet Protocol, Version 6 (IPv6) Specification

inferredcites →https://doi.org/10.17487/rfc3912openalex-snapshot

WHOIS Protocol Specification

inferredcites →https://doi.org/10.17487/rfc4632openalex-snapshot

Classless Inter-domain Routing (CIDR): The Internet Address Assignment and Aggregation Plan

inferredcites →https://doi.org/10.17487/rfc8200openalex-snapshot

Internet Protocol, Version 6 (IPv6) Specification

inferredcites →https://doi.org/10.5555/1248547.1248566openalex-snapshot

Online Passive-Aggressive Algorithms

inferredcites →https://doi.org/10.7551/mitpress/7503.001.0001openalex-snapshot

Advances in Neural Information Processing Systems 19

What points at this work

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

inferred← citeshttps://doi.org/10.5281/zenodo.1250270openalex-extracted

Detection Of Phishing Websites Using Hybrid Model

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Machine Learning and Deep Learning Techniques for Phishing Threats and Challenges

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Detecting spamming activities in twitter based on deep‐learning technique

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Data Mining

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FrameHanger: Evaluating and Classifying Iframe Injection at Large Scale

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A Framework to Detect Compromised Websites Using Link Structure Anomalies

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Empirical Study on Malicious URL Detection Using Machine Learning

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Cybersecurity Dynamics: A Foundation for the Science of Cybersecurity

inferred← citeshttps://doi.org/10.1007/978-3-030-24318-0_68openalex-snapshot

A Study of Malicious URL Detection Using Machine Learning and Heuristic Approaches

inferred← citeshttps://doi.org/10.1007/978-3-030-32475-9_28openalex-snapshot

Comparative Evaluation of Techniques for Detection of Phishing URLs

inferred← citeshttps://doi.org/10.1007/978-3-030-76736-5_36openalex-snapshot

Malicious Webpage Classification

inferred← citeshttps://doi.org/10.1007/978-3-030-87101-7_4openalex-snapshot

Privacy Preserving Machine Learning for Malicious URL Detection

inferred← citeshttps://doi.org/10.1007/978-3-031-44064-9_28openalex-snapshot

Explainable Machine Learning for Bag of Words-Based Phishing Detection

inferred← citeshttps://doi.org/10.1007/978-3-032-14805-6_5openalex-snapshot

Beyond Classification: Understanding Why URLs Are Malicious with Transparent Convex Optimization and Interpretable XAI

inferred← citeshttps://doi.org/10.1007/978-3-319-13841-1_18openalex-snapshot

Catching Classical and Hijack-Based Phishing Attacks

inferred← citeshttps://doi.org/10.1007/978-3-319-15087-1_1openalex-snapshot

ADAM: Automated Detection and Attribution of Malicious Webpages

inferred← citeshttps://doi.org/10.1007/978-3-319-39396-4_25openalex-snapshot

A Genetic Algorithm Based Model for Chinese Phishing E-commerce Websites Detection

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Heavy Log Reader: Learning the Context of Cyber Attacks Automatically with Paragraph Vector

inferred← citeshttps://doi.org/10.1007/978-3-319-75928-9_91openalex-snapshot

Phishing Detection Research Based on PSO-BP Neural Network

inferred← citeshttps://doi.org/10.1007/978-3-319-78556-1_19openalex-snapshot

Reading Network Packets as a Natural Language for Intrusion Detection

inferred← citeshttps://doi.org/10.1007/978-3-642-36883-7_10openalex-snapshot

BINSPECT: Holistic Analysis and Detection of Malicious Web Pages

inferred← citeshttps://doi.org/10.1007/978-3-642-41674-3_32openalex-snapshot

Malicious Web Page Detection: A Machine Learning Approach

inferred← citeshttps://doi.org/10.1007/978-981-10-8681-6_21openalex-snapshot

An Approach to URL Filtering in SDN

inferred← citeshttps://doi.org/10.1007/978-981-13-2203-7_52openalex-snapshot

Phishing Detection Research Based on LSTM Recurrent Neural Network

inferred← citeshttps://doi.org/10.1007/978-981-13-6052-7_29openalex-snapshot

Transaction and Identity Authentication Security Model for E-Banking: Confluence of Quantum Cryptography and AI

inferred← citeshttps://doi.org/10.1007/978-981-13-6621-5_9openalex-snapshot

Malicious Websites Identification Based on Active-Passive Method

inferred← citeshttps://doi.org/10.1007/978-981-13-9364-8_2openalex-snapshot

Identifying Phishing Through Web Content and Addressed Bar-Based Features

inferred← citeshttps://doi.org/10.1007/978-981-15-3338-9_23openalex-snapshot

Supervised Machine Learning Approach for Identification of Malicious URLs

inferred← citeshttps://doi.org/10.1007/978-981-33-4305-4_25openalex-snapshot

A Novel Focused Crawler with Anti-spamming Approach & Fast Query Retrieval

inferred← citeshttps://doi.org/10.1007/978-981-99-1946-8_27openalex-snapshot

Phishing Attack Detection Using Machine Learning

inferred← citeshttps://doi.org/10.1007/s00500-017-2531-9openalex-snapshot

Detecting redirection spam using multilayer perceptron neural network

inferred← citeshttps://doi.org/10.1007/s10766-014-0330-9openalex-snapshot

Detection of Forwarding-Based Malicious URLs in Online Social Networks

inferred← citeshttps://doi.org/10.1016/j.comnet.2022.109236openalex-snapshot

Adaptive segmented webpage text based malicious website detection

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111004openalex-snapshot

A framework for handling class imbalance in malicious URL dataset

inferred← citeshttps://doi.org/10.1016/j.cose.2014.10.014openalex-snapshot

Detection of malicious PDF files and directions for enhancements: A state-of-the art survey

inferred← citeshttps://doi.org/10.1016/j.cose.2017.11.013openalex-snapshot

Twitter spam detection: Survey of new approaches and comparative study

inferred← citeshttps://doi.org/10.1016/j.cose.2019.03.018openalex-snapshot

A keyword-based combination approach for detecting phishing webpages

inferred← citeshttps://doi.org/10.1016/j.cose.2020.102123openalex-snapshot

Intelligent cyber-phishing detection for online

inferred← citeshttps://doi.org/10.1016/j.cose.2021.102312openalex-snapshot

Website categorization via design attribute learning

inferred← citeshttps://doi.org/10.1016/j.cose.2021.102374openalex-snapshot

Discovering features for detecting malicious websites: An empirical study

inferred← citeshttps://doi.org/10.1016/j.cose.2023.103260openalex-snapshot

DDOFM: Dynamic malicious domain detection method based on feature mining

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104170openalex-snapshot

DaE2: Unmasking malicious URLs by leveraging diverse and efficient ensemble machine learning for online security

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.eswa.2015.04.042openalex-snapshot

Example-dependent cost-sensitive decision trees

inferred← citeshttps://doi.org/10.1016/j.eswa.2017.09.053openalex-snapshot

Quantifying the resilience of machine learning classifiers used for cyber security

inferred← citeshttps://doi.org/10.1016/j.eswa.2018.05.031openalex-snapshot

Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods

inferred← citeshttps://doi.org/10.1016/j.eswa.2019.05.052openalex-snapshot

Unsupervised collective-based framework for dynamic retraining of supervised real-time spam tweets detection model

inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113881openalex-snapshot

A drift aware adaptive method based on minimum uncertainty for anomaly detection in social networking

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102638openalex-snapshot

PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network

inferred← citeshttps://doi.org/10.1016/j.ins.2014.07.030openalex-snapshot

Feature set identification for detecting suspicious URLs using Bayesian classification in social networks

inferred← citeshttps://doi.org/10.1016/j.jisa.2019.102408openalex-snapshot

Adjusting lexical features of actual proxy logs for intrusion detection

inferred← citeshttps://doi.org/10.1016/j.neunet.2022.09.002openalex-snapshot

Improving malicious email detection through novel designated deep-learning architectures utilizing entire email

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106168openalex-snapshot

One-step Bayesian example-dependent cost classification: The OsC-MLP method

inferred← citeshttps://doi.org/10.1063/5.0185199openalex-snapshot

Machine learning methods of sleuthing malevolent web channels

inferred← citeshttps://doi.org/10.1109/access.2019.2960552openalex-snapshot

Potential Risk Analysis Method for Malware Distribution Networks

inferred← citeshttps://doi.org/10.1109/access.2022.3183083openalex-snapshot

A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques

inferred← citeshttps://doi.org/10.1109/access.2023.3247135openalex-snapshot

Phishing or Not Phishing? A Survey on the Detection of Phishing Websites

inferred← citeshttps://doi.org/10.1109/access.2023.3348071openalex-snapshot

Multi-Modal Features Representation-Based Convolutional Neural Network Model for Malicious Website Detection

inferred← citeshttps://doi.org/10.1109/aiccsa66935.2025.11315219openalex-snapshot

Dual-Path Phishing Detection: Integrating Transformer-Based NLP with Structural URL Analysis

inferred← citeshttps://doi.org/10.1109/ares.2013.31openalex-snapshot

Detection of Hidden Fraudulent URLs within Trusted Sites Using Lexical Features

inferred← citeshttps://doi.org/10.1109/ares.2015.84openalex-snapshot

QR Code Security -- How Secure and Usable Apps Can Protect Users Against Malicious QR Codes

inferred← citeshttps://doi.org/10.1109/asiajcis.2013.19openalex-snapshot

Suspicious URL Filtering Based on Logistic Regression with Multi-view Analysis

inferred← citeshttps://doi.org/10.1109/bdcloud.2018.00050openalex-snapshot

URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection

inferred← citeshttps://doi.org/10.1109/bigdata.2013.6691646openalex-snapshot

A fast and scalable method for threat detection in large-scale DNS logs

inferred← citeshttps://doi.org/10.1109/bigdata.2014.7004239openalex-snapshot

Examination of data, rule generation and detection of phishing URLs using online logistic regression

inferred← citeshttps://doi.org/10.1109/bigdatacongress.2015.97openalex-snapshot

Phishing URL Detection Using URL Ranking

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Long-Term Performance of a Generic Intrusion Detection Method Using Doc2vec

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On the Effectiveness of Extracting Important Words from Proxy Logs

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Feature Selection Framework for Optimizing ML-based Malicious URL Detection

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An Automated Framework for Real-time Phishing URL Detection

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ADAM: Automated detection and attribution of malicious webpages

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Supporting Law-Enforcement to Cope with Blacklisted Websites: Framework and Case Study

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SoK: A Comprehensive Reexamination of Phishing Research From the Security Perspective

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Phishing URL recognition based on ON-LSTM attention mechanism and XGBoost model

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Emerging phishing trends and effectiveness of the anti-phishing landing page

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Classifying phishing URLs using recurrent neural networks

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Port Forwarding Services Are Forwarding Security Risks

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A Review of Human- and Computer-Facing URL Phishing Features

inferred← citeshttps://doi.org/10.1109/gcat59970.2023.10353402openalex-snapshot

Machine Learning Supported Malicious URL Detection

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Partial AUC Maximization for Security Log Analysis Robust to Overfitting and Noisy Labels

inferred← citeshttps://doi.org/10.1109/glocom.2014.7036867openalex-snapshot

GuidedTracker: Track the victims with access logs to finding malicious web pages

inferred← citeshttps://doi.org/10.1109/hotweb.2015.20openalex-snapshot

Towards Automatic and Lightweight Detection and Classification of Malicious Web Contents

inferred← citeshttps://doi.org/10.1109/iaeac47372.2019.8997947openalex-snapshot

A Bi-Directional LSTM Model with Attention for Malicious URL Detection

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Malicious URL Detection Using Machine Learning

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A Comprehensive Analysis of Machine Learning Algorithms for Phishing Website Classification

inferred← citeshttps://doi.org/10.1109/icaml54311.2021.00013openalex-snapshot

Phishing Webpage Classification Method based on Joint Features

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Detection of phishing URLs using machine learning techniques

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Phishing Website Classification and Detection Using Machine Learning

inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10307474openalex-snapshot

Retracted: A Detailed Analysis on Various Datasets using Machine learning and Deep Learning Techniques for Phishing URLs Detection

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Fractal based cognitive neural network to detect obfuscated and indistinguishable internet threats

inferred← citeshttps://doi.org/10.1109/icciaa68481.2026.11543978openalex-snapshot

Optimizing Weighted Random Forests for Phishing Website Detection

inferred← citeshttps://doi.org/10.1109/icciaa68481.2026.11543980openalex-snapshot

Cost–Sensitive Phishing URL Detection for Cloud Email Gateways

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A Systematic Approach for Malware URL Recognition

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Retracted: Performance Analysis of Malicious URL Detection by using RNN and LSTM

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LGFNN-Stack: A Heterogeneous Stacked Ensemble of LightGBM and Neural Networks for Phishing Detection

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A real-time automatic detection of phishing URLs

inferred← citeshttps://doi.org/10.1109/iccwamtip.2017.8301457openalex-snapshot

Malicious URL detection using multi-layer filtering model

inferred← citeshttps://doi.org/10.1109/icdm.2015.51openalex-snapshot

Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications

inferred← citeshttps://doi.org/10.1109/iced.2016.7804679openalex-snapshot

Wide scope and fast websites phishing detection using URLs lexical features

inferred← citeshttps://doi.org/10.1109/iceem52022.2021.9480648openalex-snapshot

Malweb: An Efficient Malicious Websites Detection System using Machine Learning Algorithms

inferred← citeshttps://doi.org/10.1109/iciip.2015.7414779openalex-snapshot

DC scanner: Detecting phishing attack

inferred← citeshttps://doi.org/10.1109/icirca54612.2022.9985643openalex-snapshot

Logistic Regression based Machine Learning Technique for Phishing Website Detection

inferred← citeshttps://doi.org/10.1109/icisce.2016.155openalex-snapshot

The Detection Method for Two-Dimensional Barcode Malicious URLs Based on the Hash Function

inferred← citeshttps://doi.org/10.1109/icmlc.2013.6890356openalex-snapshot

Malicious website detection under the exploratory attack

inferred← citeshttps://doi.org/10.1109/icoac.2014.7229761openalex-snapshot

Performance study of classification techniques for phishing URL detection

inferred← citeshttps://doi.org/10.1109/icoin53446.2022.9687204openalex-snapshot

Is this URL Safe: Detection of Malicious URLs Using Global Vector for Word Representation

inferred← citeshttps://doi.org/10.1109/icsit65336.2025.11294698openalex-snapshot

AI-Enhanced Phishing Defense & Real-Time Malicious URL Detection

inferred← citeshttps://doi.org/10.1109/iscc50000.2020.9219571openalex-snapshot

SILU: Strategy Involving Large-scale Unlabeled Logs for Improving Malware Detector

inferred← citeshttps://doi.org/10.1109/isi.2019.8823362openalex-snapshot

Leverage Temporal Convolutional Network for the Representation Learning of URLs

inferred← citeshttps://doi.org/10.1109/isi49825.2020.9280522openalex-snapshot

Data-Driven Characterization and Detection of COVID-19 Themed Malicious Websites

inferred← citeshttps://doi.org/10.1109/isncc.2018.8530984openalex-snapshot

A Fault Tolerant Approach for Malicious URL Filtering

inferred← citeshttps://doi.org/10.1109/itnec48623.2020.9084799openalex-snapshot

Research on Website Phishing Detection Based on LSTM RNN

inferred← citeshttps://doi.org/10.1109/milcom.2013.317openalex-snapshot

Using Machine Learning for Behavior-Based Access Control: Scalable Anomaly Detection on TCP Connections and HTTP Requests

inferred← citeshttps://doi.org/10.1109/milcom.2015.7357562openalex-snapshot

Use of machine learning in big data analytics for insider threat detection

inferred← citeshttps://doi.org/10.1109/mis.2013.54openalex-snapshot

An Adaptive Fusion Algorithm for Spam Detection

inferred← citeshttps://doi.org/10.1109/mlsp.2015.7324374openalex-snapshot

Large scale graph mining for web reputation inference

inferred← citeshttps://doi.org/10.1109/sai.2014.6918240openalex-snapshot

Intelligent phishing detection parameter framework for E-banking transactions based on Neuro-fuzzy

inferred← citeshttps://doi.org/10.1109/socialsec.2018.8760377openalex-snapshot

Deep-learnt features for Twitter spam detection

inferred← citeshttps://doi.org/10.1109/ssci.2016.7850079openalex-snapshot

Detecting malicious URLs using machine learning techniques

inferred← citeshttps://doi.org/10.1109/sst.2017.8188684openalex-snapshot

Spam detection based on search engine creditworthiness

inferred← citeshttps://doi.org/10.1109/syssec.2011.9openalex-snapshot

Malicious Website Detection: Effectiveness and Efficiency Issues

inferred← citeshttps://doi.org/10.1109/tdsc.2021.3121388openalex-snapshot

Robust Detection of Malicious URLs with Self-Paced Wide & Deep Learning

inferred← citeshttps://doi.org/10.1109/tifs.2021.3080082openalex-snapshot

An Exploit Kits Detection Approach Based on HTTP Message Graph

inferred← citeshttps://doi.org/10.1109/tii.2020.2977886openalex-snapshot

Learning URL Embedding for Malicious Website Detection

inferred← citeshttps://doi.org/10.1109/tkde.2018.2826011openalex-snapshot

Adaptive Cost-Sensitive Online Classification

inferred← citeshttps://doi.org/10.1109/tocs53301.2021.9688967openalex-snapshot

Darknet Web URL Detection without URL Content Leakage

inferred← citeshttps://doi.org/10.1109/trustcom.2016.0073openalex-snapshot

URL Based Gateway Side Phishing Detection Method

inferred← citeshttps://doi.org/10.1109/upcon56432.2022.9986461openalex-snapshot

P-BERT: Polished Up Bidirectional Encoder Representations from Transformers for Predicting Malicious URL to Preserve Privacy

inferred← citeshttps://doi.org/10.1142/s1469026819500214openalex-snapshot

A Joint Approach to Detect Malicious URL Based on Attention Mechanism

inferred← citeshttps://doi.org/10.1145/2487575.2487647openalex-snapshot

Cost-sensitive online active learning with application to malicious URL detection

inferred← citeshttps://doi.org/10.1145/2660267.2662362openalex-snapshot

POSTER

inferred← citeshttps://doi.org/10.1145/2699026.2699115openalex-snapshot

On the Character of Phishing URLs

inferred← citeshttps://doi.org/10.1145/2857705.2857718openalex-snapshot

Detecting Malicious Exploit Kits using Tree-based Similarity Searches

inferred← citeshttps://doi.org/10.1145/2872427.2883056openalex-snapshot

Automatic Extraction of Indicators of Compromise for Web Applications

inferred← citeshttps://doi.org/10.1145/3011883.3011885openalex-snapshot

Harvesting the low-hanging fruits

inferred← citeshttps://doi.org/10.1145/3014812.3014815openalex-snapshot

Twitter spam detection based on deep learning

inferred← citeshttps://doi.org/10.1145/3041008.3041016openalex-snapshot

What's in a URL

inferred← citeshttps://doi.org/10.1145/3098954.3107007openalex-snapshot

End-node Fingerprinting for Malware Detection on HTTPS Data

inferred← citeshttps://doi.org/10.1145/3180374.3181352openalex-snapshot

Finding effective classifier for malicious URL detection

inferred← citeshttps://doi.org/10.1145/3180445.3180456openalex-snapshot

Security Analytics

inferred← citeshttps://doi.org/10.1145/3191329openalex-snapshot

A Survey on Malicious Domains Detection through DNS Data Analysis

inferred← citeshttps://doi.org/10.1145/3278532.3278569openalex-snapshot

Needle in a Haystack

inferred← citeshttps://doi.org/10.1145/3284869.3284885openalex-snapshot

Back To The Basics

inferred← citeshttps://doi.org/10.1145/3308558.3313647openalex-snapshot

Think Outside the Dataset

inferred← citeshttps://doi.org/10.1145/3321705.3329818openalex-snapshot

What Happens After You Leak Your Password

inferred← citeshttps://doi.org/10.1145/3381991.3395602openalex-snapshot

Visualizing and Interpreting RNN Models in URL-based Phishing Detection

inferred← citeshttps://doi.org/10.1145/3524458.3547259openalex-snapshot

A Technology Exploration towards Trustable and Safe Use of Social Media for Vulnerable Women based on Islam and Arab Culture

inferred← citeshttps://doi.org/10.1145/3607505.3607526openalex-snapshot

In the Line of Fire: Risks of DPI-triggered Data Collection

inferred← citeshttps://doi.org/10.1145/3630590.3630600openalex-snapshot

Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns

inferred← citeshttps://doi.org/10.1147/jrd.2016.2558018openalex-snapshot

Firstfilter: A cost-sensitive approach to malicious URL detection in large-scale enterprise networks

inferred← citeshttps://doi.org/10.1155/2021/8241104openalex-snapshot

Hybrid Rule‐Based Solution for Phishing URL Detection Using Convolutional Neural Network

inferred← citeshttps://doi.org/10.13052/2245-1439.823openalex-snapshot

ScaleNet: Scalable and Hybrid Framework for Cyber Threat Situational Awareness Based on DNS, URL, and Email Data Analysis

inferred← citeshttps://doi.org/10.13052/jcsm2245-1439.823openalex-snapshot

ScaleNet: Scalable and Hybrid Frameworkfor Cyber Threat Situational AwarenessBased on DNS, URL,and Email Data Analysis

inferred← citeshttps://doi.org/10.13052/jsn2445-9739.2017.006openalex-snapshot

FARIS: Fast and Memory-Efficient URL Filter on CPU and GPGPU

inferred← citeshttps://doi.org/10.14257/ijunesst.2015.8.5.18openalex-snapshot

Survey on Malicious Web Pages Detection Techniques

inferred← citeshttps://doi.org/10.14569/ijacsa.2019.0100702openalex-snapshot

Phishing Websites Detection using Machine Learning

inferred← citeshttps://doi.org/10.14569/ijarai.2014.031003openalex-snapshot

Parameter optimization for intelligent phishing detection using Adaptive Neuro-Fuzzy

inferred← citeshttps://doi.org/10.14722/ndss.2016.23427openalex-snapshot

Cache, Trigger, Impersonate: Enabling Context-Sensitive Honeyclient Analysis On-the-Wire

inferred← citeshttps://doi.org/10.1504/ijesdf.2016.077435openalex-snapshot

A fuzzy logic approach for detecting redirection spam

inferred← citeshttps://doi.org/10.17148/ijarcce.2019.8247openalex-snapshot

Classification of URL into Malicious or Benign using Machine Learning Approach

inferred← citeshttps://doi.org/10.17615/b2eg-z845openalex-snapshot

Using Context to Improve Network-based Exploit Kit Detection

inferred← citeshttps://doi.org/10.19080/jfsci.2018.07.555712openalex-snapshot

Malicious Website Detection: A Review

inferred← citeshttps://doi.org/10.19080/jfsci.7.3openalex-snapshot

inferred← citeshttps://doi.org/10.19107/ijisc.2016.02.06openalex-snapshot

Malicious Web Pages Detection Using Static Analysis of URLs

inferred← citeshttps://doi.org/10.2139/ssrn.6981428openalex-snapshot

PhishShield: A Client-Side AI/ML Powered Browser Extension For Real-Time Phishing Detection

inferred← citeshttps://doi.org/10.21667/1995-4565-2017-61-3-46-53openalex-snapshot

MACHINE LEARNING APPROACH IN THE PHISHING ATTACK DETECTION PROBLEM

inferred← citeshttps://doi.org/10.2197/ipsjjip.26.804openalex-snapshot

Leaving All Proxy Server Logs to Paragraph Vector

inferred← citeshttps://doi.org/10.2197/ipsjjip.27.711openalex-snapshot

An Attempt to Read Network Traffic with Doc2vec

inferred← citeshttps://doi.org/10.22214/ijraset.2020.5447openalex-snapshot

Detecting Malicious URL using Machine Learning: A Survey

inferred← citeshttps://doi.org/10.23919/ccc55666.2022.9902389openalex-snapshot

Malicious URL Recognition Based on Multi-feature Fusion and Machine Learning

inferred← citeshttps://doi.org/10.23977/iccia2020035openalex-snapshot

Research on malicious Web Page Detection algorithm based on Deep Learning

inferred← citeshttps://doi.org/10.2478/cait-2018-0002openalex-snapshot

Malicious URLs Detection Using Decision Tree Classifiers and Majority Voting Technique

inferred← citeshttps://doi.org/10.25911/5d70eeb78a592openalex-snapshot

Detecting vandalism on Wikipedia across multiple languages

inferred← citeshttps://doi.org/10.26483/ijarcs.v8i7.4141openalex-snapshot

CLASSIFICATION OF MALICIOUS URLS FOR WEB USING RIPPER ALGORITHM

inferred← citeshttps://doi.org/10.26634/jcom.6.3.15698openalex-snapshot

EVALUATION OF CLASSIFICATION ALGORITHMS FOR PHISHING URL DETECTION

inferred← citeshttps://doi.org/10.26634/jcom.9.1.18154openalex-snapshot

PRECISE DETECTION OF PHISHING URLS USING RECURRENT NEURAL NETWORKS

inferred← citeshttps://doi.org/10.30534/ijatcse/2020/330952020openalex-snapshot

Evaluating the performance of some machine learning algorithms for malicious URL detection problem

inferred← citeshttps://doi.org/10.31033/ijemr.9.6.18openalex-snapshot

Malicious-URL Detection using Logistic Regression Technique

inferred← citeshttps://doi.org/10.31580/sps.v1i2.591openalex-snapshot

The THE INVESTIGATION OF HIDDEN FRAUDULENT WEBSITE DATASET WITH AN ALTERNATE POINT OF VIEW

inferred← citeshttps://doi.org/10.3233/his-160232openalex-snapshot

Detection of malicious web pages by evolutionary ensemble learning

inferred← citeshttps://doi.org/10.3233/jifs-169429openalex-snapshot

Evaluating deep learning approaches to characterize and classify malicious URL’s

inferred← citeshttps://doi.org/10.3233/jifs-190455openalex-snapshot

Bidirectional IndRNN malicious webpages detection algorithm based on convolutional neural network and attention mechanism

inferred← citeshttps://doi.org/10.3390/a19050345openalex-snapshot

Antivirus Systems: Detection Methods and Architectures

inferred← citeshttps://doi.org/10.3390/app12010060openalex-snapshot

Detecting Web-Based Attacks with SHAP and Tree Ensemble Machine Learning Methods

inferred← citeshttps://doi.org/10.3390/app12136407openalex-snapshot

A Deep Neural Network Technique for Detecting Real-Time Drifted Twitter Spam

inferred← citeshttps://doi.org/10.3390/biomimetics8020197openalex-snapshot

Building an Effective Classifier for Phishing Web Pages Detection: A Quantum-Inspired Biomimetic Paradigm Suitable for Big Data Analytics of Cyber Attacks

inferred← citeshttps://doi.org/10.3390/fi14120358openalex-snapshot

Detection of Malicious Websites Using Symbolic Classifier

inferred← citeshttps://doi.org/10.35444/ijana.2024.15404openalex-snapshot

Sparseness Controlled Proportionate RLS Algorithm for Sparse and Non-Sparse Systems

inferred← citeshttps://doi.org/10.38124/ijisrt/ijisrt24mar1199openalex-snapshot

Detection of Malicious Websites using Machine Learning

inferred← citeshttps://doi.org/10.3837/tiis.2019.11.017openalex-snapshot

MALICIOUS URL RECOGNITION AND DETECTION USING ATTENTION-BASED CNN-LSTM

inferred← citeshttps://doi.org/10.4018/978-1-7998-5101-1.ch008openalex-snapshot

Malicious URL Detection Using Machine Learning

inferred← citeshttps://doi.org/10.4018/979-8-2600-3465-1.ch003openalex-snapshot

AI-Based Phishing Website Detection Using Machine Learning Techniques

inferred← citeshttps://doi.org/10.4304/jetwi.4.2.128-133openalex-snapshot

MALURLS: A Lightweight Malicious Website Classification Based on URL Features

inferred← citeshttps://doi.org/10.4304/jnw.7.8.1201-1207openalex-snapshot

A Prior-based Transfer Learning Method for the Phishing Detection

inferred← citeshttps://doi.org/10.4314/njtd.v16i4.2openalex-snapshot

Performance Evaluation of Machine Learning Techniques for Identifying Forged and Phony Uniform Resource Locators (URLs)

inferred← citeshttps://doi.org/10.46229/jifotech.v3i2.752openalex-snapshot

Identifikasi Malware pada Android menggunakan Algoritma K-Nearest Neighbor

inferred← citeshttps://doi.org/10.48550/arxiv.1506.04111openalex-snapshot

Breaking Bad: Detecting malicious domains using word segmentation

inferred← citeshttps://doi.org/10.48550/arxiv.1701.07179openalex-snapshot

Malicious URL Detection using Machine Learning: A Survey

inferred← citeshttps://doi.org/10.48550/arxiv.1907.08276openalex-snapshot

An AI-based, Multi-stage detection system of banking botnets

inferred← citeshttps://doi.org/10.48550/arxiv.1910.06277openalex-snapshot

Using Lexical Features for Malicious URL Detection -- A Machine Learning Approach

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