Towards Lightweight URL-Based Phishing Detection

Towards Lightweight URL-Based Phishing Detection

Nowadays, the majority of everyday computing devices, irrespective of their size and operating system, allow access to information and online services through web browsers. However, the pervasiveness of web browsing in our daily life does not come without security risks. This widespread practice of...

Full description

Bibliographic Details
Main Authors:	Andrei Butnaru, Alexios Mylonas, Nikolaos Pitropakis
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Series:	Future Internet
Subjects:	phishing supervised machine learning classifier heuristics URL-based
Online Access:	https://www.mdpi.com/1999-5903/13/6/154

Similar Items

PhishHaven—An Efficient Real-Time AI Phishing URLs Detection System
by: Maria Sameen, et al.
Published: (2020-01-01)

Towards a Multi-Layered Phishing Detection
by: Kieran Rendall, et al.
Published: (2020-08-01)

An In-Depth Benchmarking and Evaluation of Phishing Detection Research for Security Needs
by: Ayman El Aassal, et al.
Published: (2020-01-01)

An Effective Phishing Detection Model Based on Character Level Convolutional Neural Network from URL
by: Ali Aljofey, et al.
Published: (2020-09-01)

A Lightweight Anti-Phishing Technique for Mobile Phone
by: Abdul Abiodun Orunsolu, et al.
Published: (2017-12-01)

A Survey of Machine Learning-Based Solutions for Phishing Website Detection
by: Lizhen Tang, et al.
Published: (2021-08-01)

Email Phishing: An Enhanced Classification Model to Detect Malicious URLs
by: Shweta Sankhwar, et al.
Published: (2019-06-01)

Dr. Phish: Phishing Website Detector
by: Kumar Harish, et al.
Published: (2021-01-01)

Phishing-Inspector: Detection & Prevention of Phishing Websites
by: Doke Tanmay, et al.
Published: (2020-01-01)

Comparación de técnicas de machine learning para detección de sitios web de phishing
by: Andrés Eduardo Moncada Vargas
Published: (2020-12-01)

Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques
by: Huda Yousif Kadhim, et al.
Published: (2019-09-01)

Phishing Attacks Survey: Types, Vectors, and Technical Approaches
by: Rana Alabdan
Published: (2020-09-01)

Understanding the Phishing Ecosystem
by: Le Page, Sophie
Published: (2019)

Phishing Attacks: A Recent Comprehensive Study and a New Anatomy
by: Zainab Alkhalil, et al.
Published: (2021-03-01)

The Spatial Analysis of the Malicious Uniform Resource Locators (URLs): 2016 Dataset Case Study
by: Raid W. Amin, et al.
Published: (2021-12-01)

Anti-phishing system : Detecting phishing e-mail
by: Mei, Yuanxun
Published: (2008)

An Optimized Stacking Ensemble Model for Phishing Websites Detection
by: Mohammed Al-Sarem, et al.
Published: (2021-05-01)

Phishing page detection via learning classifiers from page layout feature
by: Jian Mao, et al.
Published: (2019-02-01)

Phishing Warden: Enhancing Content-Triggered Trust Negotiation to Prevent Phishing Attacks
by: Henshaw, James Presley
Published: (2005)

Categorization of Phishing Detection Features And Using the Feature Vectors to Classify Phishing Websites
Published: (2017)

Enhancing Case-based Reasoning Approach using Incremental Learning Model for Automatic Adaptation of Classifiers in Mobile Phishing Detection
by: San Kyaw Zaw, et al.
Published: (2020-05-01)

An educational experiment in discovering spear phishing attacks
by: Floderus, Sebastian, et al.
Published: (2019)

Intelligent phishing website detection system using fuzzy techniques.
by: Aburrous, Maher R., et al.
Published: (2009)

A Phishing Webpage Detection Method Based on Stacked Autoencoder and Correlation Coefficients
by: Jian Feng, et al.
Published: (2019-01-01)

Deep Character-Level Anomaly Detection Based on a Convolutional Autoencoder for Zero-Day Phishing URL Detection
by: Seok-Jun Bu, et al.
Published: (2021-06-01)

Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli ... [et al.]
by: Ramli, Muhammad Hafiz, et al.
Published: (2020)

Comparing the relative efficacy of phishing emails
by: Lingaas Türk, Jakob
Published: (2020)

A Deep-Learning-Driven Light-Weight Phishing Detection Sensor
by: Bo Wei, et al.
Published: (2019-09-01)

Datasets for phishing websites detection
by: Grega Vrbančič, et al.
Published: (2020-12-01)

Detecting Visually Similar Web Pages: Application to Phishing Detection
by: Teh-Chung, Chen
Published: (2011)

Phishing-Alarm: Robust and Efficient Phishing Detection via Page Component Similarity
by: Jian Mao, et al.
Published: (2017-01-01)

AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites
by: Yazan Ahmad Alsariera, et al.
Published: (2020-01-01)

A Users' Awareness Study and Influence of Socio-Demography Perception of Anti-Phishing Security Tips
by: Abdul Orunsolu, et al.
Published: (2018-12-01)

Learning Model for Phishing Website Detection
by: A. Suryan, et al.
Published: (2020-10-01)

The Role of Contextualization in Individuals’ Vulnerability to Phishing Attempts
by: Farkhondeh Hassandoust, et al.
Published: (2020-09-01)

Particle Swarm Optimization-Based Feature Weighting for Improving Intelligent Phishing Website Detection
by: Waleed Ali, et al.
Published: (2020-01-01)

Phishing Detection Based on Machine Learning and Feature Selection Methods
by: Mohammad Almseidin, et al.
Published: (2019-12-01)

Applying Machine Learning Techniques to Understand User Behaviors When Phishing Attacks Occur
by: Yi Li, et al.
Published: (2019-08-01)

A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators
by: Aldakheel, E.A, et al.
Published: (2023)

Legal aspects of counteracting phishing: the European Union experience
by: Іван Васильович Яковюк, et al.
Published: (2020-06-01)