IEEE

A Systematic Review on Detection, Repair, and Explanation of Vulnerabilities in Source Code Using Large Language Models

Abstract: Software vulnerabilities pose critical risks to the security and reliability of modern systems, requiring effective detection, repair, and explanation techniques. Large Language Models (LLMs ...
IEEE

Secure Digital Payments: Fraud Detection in UPI Using Machine Learning Techniques

Abstract: The rapid adoption of Unified Payments Interface (UPI) systems has revolutionized digital transactions in India, but has also led to an increase in fraudulent activities targeting ...
IEEE

Fraud Detection in Ethereum Transactions Using Bi-Directional LSTM and Attention Mechanism

Blockchain, an added decentralized virtual ledger in Nakamoto’s 2008 paper, enables secure, synchronized transaction data among a few ledgers without intermediaries. This form has made blockchain ...
IEEE

A Hybrid GRU-MLP Approach for UPI Fraud Detection in Enhancing Digital Payment Security

Abstract: The rapid growth of Unified Payments Interface (UPI) transactions has led to increasing fraud incidents, posing serious challenges to digital payment security. Traditional rule-based and ...
devdiscourse

Bike taxi rider posing as cop held for multiple cyber fraud cases

A bike taxi rider, who was allegedly involved in multiple cases of online cheating, impersonation, and digital fraud by posing as a Cyber Crime Police Officer was arrested, police said on Thursday.
The Hacker News

China-Linked UAT-8099 Targets IIS Servers in Asia with BadIIS SEO Malware

Cybersecurity researchers have discovered a new campaign attributed to a China-linked threat actor known as UAT-8099 that took place between late 2025 and early 2026. The activity, discovered by Cisco ...
IEEE

A Novice Approach for UPI Fraud Detection by Using Machine Learning Techniques

Abstract: Effective detection systems are crucial because, although the Unified Payment Interface (U.P.I.) has transfigured digital outflows in India, its quick expansion has also increased fraudulent ...
IEEE

Behavioral and Hybrid Anomaly Detection Techniques for Enhanced Fraud Prevention in E-Commerce Transactions

Abstract: This paper is designed to develop an automated fraud detection system for e-commerce by leveraging user behavior analysis and hybrid anomaly detection models. As e-commerce grows rapidly, ...
IEEE

Transformer Model for Fraud Detection in Medical Insurance Claims

Abstract: Healthcare fraud is a major problem that leads to wasted money and decreased efficiency in medical insurance systems. Traditional fraud-detection methods based on fixed rules struggle to ...
IEEE

Leveraging Machine Learning Techniques of Real Time Detection of UPI Fraud

Abstract: Quickly changed the status of digital transactions to record the Unified Payments Interface (UPI). At the same time, it also increased users' sensitivity to financial fraud. In this document ...
The Hacker News

Malicious VS Code AI Extensions with 1.5 Million Installs Steal Developer Source Code

Cybersecurity researchers have discovered two malicious Microsoft Visual Studio Code (VS Code) extensions that are advertised as artificial intelligence (AI)-powered coding assistants, but also harbor ...