Cover Image

Advanced Real-Time Fraud Detection Using RAG-Based LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Singh, Gurjot, Singh, Prabhjot, Singh, Maninder
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReVision : A Post-Hoc, Vision-Based Technique for Replacing Unacceptable Concepts in Image Generation Pipeline
by: Singh, Gurjot, et al.
Published: (2026)

BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data
by: Singh, Ishpuneet, et al.
Published: (2026)

Backdooring Bias in Large Language Models
by: Das, Anudeep, et al.
Published: (2026)

Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
by: Fok, Jan Lum, et al.
Published: (2025)

Decoding Complexity: Intelligent Pattern Exploration with CHPDA (Context Aware Hybrid Pattern Detection Algorithm)
by: Koli, Lokesh, et al.
Published: (2025)

FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
by: Xu, Naen, et al.
Published: (2026)

Matching Ranks Over Probability Yields Truly Deep Safety Alignment
by: Vega, Jason, et al.
Published: (2025)

SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
by: Ghosal, Soumya Suvra, et al.
Published: (2024)

Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
by: Basnet, Animesh Singh, et al.
Published: (2024)

AWE: Adaptive Agents for Dynamic Web Penetration Testing
by: Jaswal, Akshat Singh, et al.
Published: (2026)

Agentic AI Microservice Framework for Deepfake and Document Fraud Detection in KYC Pipelines
by: Kubam, Chandra Sekhar
Published: (2026)

eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models
by: Houssel, Paul R. B., et al.
Published: (2025)

An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network
by: Pang, Yining, et al.
Published: (2025)

ConfusedPilot: Confused Deputy Risks in RAG-based LLMs
by: RoyChowdhury, Ayush, et al.
Published: (2024)

KillChainGraph: ML Framework for Predicting and Mapping ATT&CK Techniques
by: Singh, Chitraksh, et al.
Published: (2025)

Quantitative Certification of Agentic Tool Selection
by: Yeon, Jehyeok, et al.
Published: (2025)

A Relay-Chain-Powered Ciphertext-Policy Attribute-Based Encryption in Intelligent Transportation Systems
by: Singh, Aparna, et al.
Published: (2025)

The Ethics of Interaction: Mitigating Security Threats in LLMs
by: Kumar, Ashutosh, et al.
Published: (2024)

Retrieval-Augmented LLMs for Security Incident Analysis
by: Cadet, Xavier, et al.
Published: (2026)

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
by: Shuster, Shaun, et al.
Published: (2025)

RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks
by: Singh, Gurjot, et al.
Published: (2025)

Proactively Detecting Threats: A Novel Approach Using LLMs
by: Chawla, Aniesh, et al.
Published: (2026)

Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability
by: Khan, Md Asif Ul Hoq, et al.
Published: (2025)

RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems
by: Patil, KrishnaSaiReddy
Published: (2026)

If Only My CGM Could Speak: A Privacy-Preserving Agent for Question Answering over Continuous Glucose Data
by: Cui, Yanjun, et al.
Published: (2026)

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection
by: Zhang, Ivan
Published: (2025)

Context manipulation attacks : Web agents are susceptible to corrupted memory
by: Patlan, Atharv Singh, et al.
Published: (2025)

Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field
by: Bockel-Rickermann, Christopher, et al.
Published: (2022)

Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG
by: Chen, Yufan, et al.
Published: (2025)

RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
by: Ikbarieh, Seif, et al.
Published: (2025)

AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles
by: Shit, Rathin Chandra, et al.
Published: (2025)

Hybrid IDS Using Signature-Based and Anomaly-Based Detection
by: Boutassetta, Messaouda, et al.
Published: (2026)

Leveraging RAG for Training-Free Alignment of LLMs
by: Halloran, John T.
Published: (2026)

AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection
by: Koli, Lokesh, et al.
Published: (2025)

Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy
by: Shi, Yichuan, et al.
Published: (2024)

Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

Semantic-Aware Advanced Persistent Threat Detection Using Autoencoders on LLM-Encoded System Logs
by: Mohammed, Waleed Khan, et al.
Published: (2026)

Enhancing Intrusion Detection in IoT Environments: An Advanced Ensemble Approach Using Kolmogorov-Arnold Networks
by: Amouri, Amar, et al.
Published: (2024)

ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
by: Shen, Zeyu, et al.
Published: (2025)