Secure Real-Time Payment Fraud Detection Using Quantum Homomorphic Encryption Techniques

View at publisher
Authors: Mahesh Babu Chittem, Malleswar Reddy Yerabolu, V. Dinesh Reddy, Anup Kumar Maurya, B. Ramachandra Reddy
Cited by: 0

Abstract

A breakthrough in payment system protection comes from Quantum Homomorphic Fraud Analytics,which merges homomorphic encryption (HE) capabilities with quantum computing algorithms.This framework provides absolute protection because it directly enables the analysis of encryptedpayment data, which meets privacy requirements, GDPR, and other modern data protection laws.Using quantum algorithms, this system speeds up computational operations of classical HE, makingit possible to detect fraud in real-time without losing efficiency or security capabilities. Byimplementing quantum-resistant encryption standards, the system defends financial systems frompresent and future quantum threats. With superlative precision, the system detects sophisticatedfraud patterns, unusual transaction patterns, and behavioral irregularities through quantum machinelearning integration. The system design features high scalability, which allows it to process UPIand blockchain-based remittance transactions alongside low-latency operations. The fraud detectionplatform based on quantum technology provides complete information protection and advanced detectionsystems backed by impenetrable security, which outpaces industry standards for financialsecurity measures. This groundbreaking framework allows financial institutions to gain better operationalefficiency by providing secure quantum-resilient protections for raw data and enhancedtrust, enabling them to lead the development of payment security into the future.

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Cryptography and Data Security Quantum Information and Cryptography

Publication details

Pages
89–100
Publication date
7 January 2026
Language
EN
Document type
Book chapter