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Papers tagged with "Phishing Detection"
Intelligent Phishing Detection Platform (PhishShield)
Phishing Attacks Continue To Represent One Of The Most Prevalent And Operationally Effective Cybersecurity Threats Targeting Everyday Internet Users. Adversaries Craft Malicious URLs That Closely Imitate Legitimate Websites With The Intent...
AI-Driven Malicious URL Detection Using Machine Learning, Deep Learning, And Secure Full-Stack Web Integration With CI/CD Pipeline
The Pervasive Adoption Of Digital Platforms Has Precipitated A Concomitant Escalation In Phishing Attacks, Wherein Malicious Uniform Resource Locators (URLs) Serve As The Primary Vector For Credential Theft, Financial Fraud, And Malware Dis...
PHISHNET: Intelligent Threat Analysis System Against Phishing Attacks
Digital Chat’s Fast Rise Makes Smart Online Protection More Urgent, Especially To Spot And Stop Fake Message Scams On Different Apps. PHISHNET Uses AI To Check Threats In Many Channels, Combining Learning Machines, Number Crunching, And Hum...
Building A Real Time Phishing URL Detector
In Today’s Digital Era, Online Users Are Frequently Targeted By Deceptive Websites Designed To Steal Personal Credentials, Financial Data, And Sensitive Information. This Paper Presents Phishing Detector, An Intelligent Phishing Detection S...
Feature Engineering based malicious URLs detection models using Bi-directional RNN
Threats, Including Phishing, Are Still A Widespread And Growing Problem In Today's Digital Society Because Fraudsters Use Increasingly Complex Techniques To Deceive Users And Gain Illegal Access To Sensitive Information, Effective Phishing...
PHISHING WEBSITE DETECTION USING GAN AND RANDOM FOREST
Cyber Attackers Create Fake Websites For Various Nefarious Purposes, Such As Promoting Their Products, Distributing Malware, Or Stealing Login Credentials Through A Deceitful Tactic Known As Phishing. Phishing Involves Impersonating Legitim...
PHISHING DETECTION BASED ON CONVOLUTIONAL NEURAL NETWORKS
Phishing Websites Can Have Demoralizing Effects On Governmental, Monetary And Social Services, As Well As On Individual Privacy. Currently, Many Phishing Detection Solutions Are Evaluated Using Small Datasets And, Thus, Are Prone To Samplin...
SENSITIVE DATA DETECTION SYSTEM IN CHAT MESSAGES USING DATA MINING
Instant Messaging Systems (IMS) Generically Cannot Detect Many Deceptive Phishing Attacks; Hence They Are Vulnerable For Cyber Frauds. To Overcome, We Proposes An Active-Phishing Detection System (APDs), Developed Using Data Mining (Rul...