Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 8, 2026Computers & Electrical EngineeringOpen Access

A comprehensive review of malicious URLs: Detection techniques, features and datasets

View Full Paper
Ask AI
Bookmark
Share

Authors

MOMurat OsmanogluDGDeepti GuptaMOMerve Ozkan

Discussion

Loading...

Member takes

Overview

Comprehensive review analyzes detection techniques and datasets for malicious URLs, highlighting future research directions.

Key Points

  • The aim is to provide a holistic synthesis of detection techniques for malicious URLs and identify gaps in the literature.
  • Conducted a systematic analysis of recent studies on malicious URL detection methods, datasets, and feature engineering approaches.
  • Evaluated the effectiveness of machine learning and deep learning approaches in detecting malicious URLs.
  • Identified open challenges such as robustness against adversarial attacks and the need for explainable AI.
  • Outlined various machine learning and deep learning methodologies for detecting malicious URLs.
  • Highlighted common datasets and feature extraction techniques used in current research.
  • Provided recommendations for enhancing detection mechanisms and future research opportunities.

Cite This Study

Osmanoglu et al. (2026) studied this question.

synapsesocial.com/papers/69fd7d94bfa21ec5bbf0604ahttps://doi.org/10.1016/j.compeleceng.2026.111186
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Malicious Uniform Resource Locator Detection2024 · 1 citations
  2. 2New Heuristics Method for Malicious URLs Detection Using Machine Learning2024
  3. 3Digital Fortress - Web Application Malware Detection2024
  4. 4SaleSurf - Strengthening the Web's Armour, One URL at a Time - Malicious URL Detection using Machine Learning Models2024 · 1 citations
  5. 5Comparative Analysis of Popular Supervised Machine Learning Algorithms for Detecting Malicious Universal Resource Locators2024 · 3 citations