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Papers tagged with "Fraud"
GreenLand: A Secure Land Registration Scheme For Blockchain And AI-Enabled Agriculture Industry 5.0.
GreenLand Is A Secure And Intelligent Land Registration System Designed To Improve Transparency, Security, And Efficiency In Agricultural Land Management Using Blockchain And Artificial Intelligence Technologies. Traditional Land Registrati...
UPI FRAUD DETECTION USING MACHINE LEARNING
This Paper Presents A UPI Fraud Detection System Using Machine Learning Techniques To Identify And Prevent Fraudulent Digital Payment Transactions. With The Rapid Growth Of Unified Payments Interface (UPI) Transactions In India, Cyber Fraud...
Hybrid Adaptive Sampling With Risk-Based Credit Card Fraud Detection (HAS-RFD)
Credit Card Fraud Has Become A Significant Challenge In The Digital Economy, Resulting In Substantial Financial Losses And Reduced Trust In Online Transactions. This Paper Presents A Hybrid Adaptive Sampling With Risk-Based Fraud Detection...
Blockchain-Based Certificate Verification And Validation
Blockchain Technology Offers A Robust And Innovative Solution For Certificate Verification And Validation, Addressing Prevalent Issues Such As Fraud, Forgery, And Data Manipulation. By Leveraging The Decentralized, Immutable, And Transparen...
MediTrust: An AI-Based Medical Fund Verification System For Fraud Detection And Donor Trust Enhancement
This Document Presents A Demonstration Paper For Submissions To The SET International Journal Of Broadcast Engineering (SET IJBE). It Provides Authors With A Practi- Cal Example Of An AI-based Medical Fund Verification System, Including The...
AI-Driven Banking Security Monitoring System
Banking Environments Consistently Rank Among The Most Security-critical Operational Domains, Where Institutions Must Safeguard Financial Assets, Sensitive Customer Information, And Personnel Against Theft, Fraud, And Unauthorized Access. Em...
A Hybrid Deep Learning Model For Detecting Credit Card Fraud Using CNN–BiLSTM With An Attention Mechanism And Focal Loss Optimization
Detecting Credit Card Fraud Is A Complex Task Due To The Significant Imbalance In Data And The Constantly Changing Nature Of Fraudulent Activities. This Research Introduces A Hybrid Deep Learning Model That Combines CNN, BiLSTM, And An Atte...
Privacy-Preserving Multiple Payment Fraud Detection Using LSTM-based Federated Learning.
This Paper Presents A Privacy-preserving Framework For Multiple Payment Fraud Detection Using Long Short-Term Memory (LSTM) And Federated Learning. The Model Captures Temporal Patterns In Transaction Data To Identify Fraudulent Activities E...
TalentIQ-AN INTELLIGENT RESUME AND FAIR CANDIDATE RANKING SYSTEM
TalentIQ Is An AI-powered Resume Intelligence System Designed To Automate Candidate Screening And Improve Recruitment Efficiency. The System Analyzes Resumes Using Natural Language Processing (NLP) And Semantic Skill Matching Techniques To...
Detection Of Fake And Irrelevant Job Postings Using Passive Aggressive Classifier
With The Rapid Growth Of Online Job Portals, The Number Of Fake And Irrelevant Job Postings Has Significantly Increased. These Fraudulent Listings Mislead Job Seekers, Waste Time, And Sometimes Lead To Financial Loss. This Paper Presents A...
Secure Trade Mediation System
In This Modern Era, We Have Faced A Lot Of E-commerce Scams, So We Have Introduced A System To Reduce The This Scam. Wehave Built A Dual Escrow Mediation Where Both The Buyer And Seller Have To Initiate 10% Of The Deposit Inside The Escrow...
Identifying Credit Card Frauds Employing Deep Learning
With Increased Internet Usage, Online Transactions Have Been On The Rise. One Of The Most Prevalent Problems Faced Is Credit Cards Frauds. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devic...
A Study On Exploring Laws Governing E-Commerce And Fraud
E-Commerce Has Significantly Transformed As Global Commerce. As More People Shop Online, E-commerce Has Become A Huge Target For Scammers. While It’s Convenient To Buy Things With A Click, It Has Also Opened The Door To Problems Like Identi...
ONLINE BANKING FRAUD DETECTION USING MACHINE LEARNING TECHNIQUES
The Rapid Growth Of Online Banking Has Significantly Increased Fraudulent Activities Such As Unauthorized Transactions, Phishing Attacks, Identity Theft, And Account Takeovers. Traditional Rule-based Systems Fail To Detect Evolving Fraud Pa...
Anomaly Detection In Blockchain Networks In UPI Transactions
Blockchain Technology Has Revolutionized Distributed Systems Through Its Decentralized, Immutable, And Transparent Architecture. However, The Increasing Adoption Of Blockchain Networks Has Attracted Malicious Actors Exploiting Vulnerabiliti...