Phishing Websites Detection using Python
Phishing websites is a problem on internet that target the people amenabilities rather than software vulnerabilities. It can be described as it is the process of collecting sensitive information such as usernames and passwords. Types of web pages are different in terms of their features.
Pratik Rajendra Chougule +4 more
openaire +1 more source
Phishing detection algorithm based on attention and feature fusion
Phishing has been the primary means utilized by attackers to conduct cyber fraud. As national anti-cyber fraud efforts continue to increase, the technical confrontation of various phishing activities has also escalated, bringing significant pressure to ...
Sirui ZHANG, Zhiwei YAN, Kejun DONG, Xuebiao YUCHI
doaj +3 more sources
Tree-based Ensemble Machine Learning for Phishing Website Detection
Phishing remains a prevalent and perilous cyber threat in the digital age, exploiting human vulnerabilities to deceive individuals into disclosing sensitive information. This paper presents a method to achieve high accuracy in phishing website detection
Husni Fadhilah +2 more
doaj +1 more source
Feature Engineering for Phishing Website Detection Using Machine Learning: A Systematic Review
Phishing website detection has been widely explored, yet most existing surveys focus on detection algorithms or general cybersecurity methods, offering only a brief treatment of feature engineering. This systematic literature review addresses this gap by
Yanche Ari Kustiawan +1 more
doaj +1 more source
EMBEDDING AND WEIGHTING OF WEBSITE FEATURES FOR PHISHING DETECTION
One of the most common cyber threats are phishing attacks. During a phishing attack, attackers use various technical and social engineering tricks to try to lure victims to a phishing website. The website looks like it belongs to a trusted organization but is actually run by the attackers and used to mislead victims into revealing their passwords ...
openaire +1 more source
A Novel Architecture Based on Weight Freezing and Random Forest for Website Phishing Detection
Phishing is a severe cybersecurity threat that continues to cause significant economic losses and breaches of privacy globally. This paper presents a novel architecture for effective phishing website detection, integrating a unique weight freezing ...
Ali Jasim Khaleefah AL-JABERI +3 more
doaj +1 more source
Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers
Phishing is an electronic fraud through which an attacker can access user credentials. Phishing websites are the ones that mimic legitimate websites. Fraudsters can replace them within hours to evade their detection.
Manu J. Pillai +4 more
doaj +1 more source
A Review of a Website Phishing Detection Taxonomy
Phishing is a common cybercrime that uses social engineering to trick people into revealing sensitive information such as personal identity data and financial credentials. This paper thoroughly analyzes various techniques used to detect website phishing, categorizing them based on the primary features they analyze and the methods they use. By examining
Frąszczak, Damian, Frąszczak, Edyta
openaire +1 more source
Explainable phishing website detection for secure and sustainable cyber infrastructure. [PDF]
Kehkashan T +6 more
europepmc +1 more source
An entropy-guided hybrid framework for real-time phishing detection in digital communication systems. [PDF]
Rawat R, Rawat H, Rawat A, Rajavat A.
europepmc +1 more source

