A Deep learning-based innovative technique for phishing detection in modern security with uniform resource locators

EA Aldakheel, M Zakariah, GA Gashgari, FA Almarshad… - Sensors, 2023 - mdpi.com
Organizations and individuals worldwide are becoming increasingly vulnerable to
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …

Enhancing phishing detection: A novel hybrid deep learning framework for cybercrime forensics

FS Alsubaei, AA Almazroi, N Ayub - IEEE Access, 2024 - ieeexplore.ieee.org
Protecting against interference is essential at a time when wireless communications are
essential for sending large amounts of data. Our research presents a novel deep learning …

Website Classification Through Exploratory Data Analysis Using Naive Bayes, Random Forest, and Support Vector Machine Classifier

KS Gill, V Anand, R Gupta - 2023 3rd International Conference …, 2023 - ieeexplore.ieee.org
Website categorization is the process of grouping websites resources according to their
content, function, and other characteristics. Website categorization is crucial for a number of …

Multimodel Collaboration to Combat Malicious Domain Fluxing

Y Nie, S Liu, C Qian, C Deng, X Li, Z Wang, X Kuang - Electronics, 2023 - mdpi.com
This paper proposes a novel domain-generation-algorithm detection framework based on
statistical learning that integrates the detection capabilities of multiple heterogeneous …

An Automatic Detection System for Fake Japanese Shopping Sites Using fastText and LightGBM

K Sakai, K Takeshige, K Kato, N Kurihara, K Ono… - IEEE …, 2023 - ieeexplore.ieee.org
In recent years, the number of fake shopping sites that scam people out of their money or
steal their personal information has skyrocketed. To address this problem, Japanese law …

An ensemble classification method based on machine learning models for malicious Uniform Resource Locators (URL)

S Sankaranarayanan, AT Sivachandran… - Plos one, 2024 - journals.plos.org
Web applications are important for various online businesses and operations because of
their platform stability and low operation cost. The increasing usage of Internet-of-Things …

A Predictive Model for Phishing Attacks on Mobile Intelligent Agent Systems

MD Manyama, OP Kogeda - … Conference on Computational Science and Its …, 2024 - Springer
Phishing attacks continue to evolve with time and the attackers are always ahead of the
existing mitigation plans. The more technology advances, the more sophisticated phishing …

PHISHEILD WEBSITE DETECTION SYSTEM FOR SAFEGUARDING ONLINE SECURITY

D Bauva, V Parmar, Y Wadajkar, K Chotai… - Asian Journal For …, 2024 - asianssr.org
The increasing prevalence of cyber threats increases the need to identify effective phishing
websites. Phishing attacks, often disguised inside legitimate-looking websites, compromise …

Heterogeneous Ensemble Feature Selection and Multilevel Ensemble Approach to Machine Learning Phishing Attack Detection

GO Ogunleye, BM Olukoya, AT Olusesi, P Olabisi… - journal.engineering.fuoye.edu.ng
Over the decade, technology has presented human facets with easiest means of
accomplishing complex tasks seamlessly, especially in the area of communication …