Cover Image

MalRAG: A Retrieval-Augmented LLM Framework for Open-set Malicious Traffic Identification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Xiang, Liu, Chang, Xiong, Gang, Yang, Chen, Gou, Gaopeng, Ren, Yaochen, Li, Zhen
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification
by: Lin, Xinjie, et al.
Published: (2025)

DecETT: Accurate App Fingerprinting Under Encrypted Tunnels via Dual Decouple-based Semantic Enhancement
by: Gu, Zheyuan, et al.
Published: (2025)

MalTool: Malicious Tool Attacks on LLM Agents
by: Hu, Yuepeng, et al.
Published: (2026)

MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem
by: Gao, Xingan, et al.
Published: (2025)

MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack
by: Hua, Jiayi, et al.
Published: (2024)

MalMoE: Mixture-of-Experts Enhanced Encrypted Malicious Traffic Detection Under Graph Drift
by: Tan, Yunpeng, et al.
Published: (2026)

PotentRegion4MalDetect: Advanced Features from Potential Malicious Regions for Malware Detection
by: Koppanati, Rama Krishna, et al.
Published: (2025)

Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
by: Vu, Duc-Ly, et al.
Published: (2025)

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
by: Zeng, Shenglai, et al.
Published: (2024)

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs
by: Sun, Tiezhu, et al.
Published: (2025)

Malicious Agent Detection for Robust Multi-Agent Collaborative Perception
by: Zhao, Yangheng, et al.
Published: (2023)

SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection
by: Zhang, Mingqing, et al.
Published: (2025)

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
by: Li, Jiliang, et al.
Published: (2024)

STAR: Semantic-Traffic Alignment and Retrieval for Zero-Shot HTTPS Website Fingerprinting
by: Cheng, Yifei, et al.
Published: (2025)

SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
by: Hasan, Touseef, et al.
Published: (2026)

RoBERTa-Augmented Synthesis for Detecting Malicious API Requests
by: Aharon, Udi, et al.
Published: (2024)

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models
by: Li, Chunyang, et al.
Published: (2025)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
by: Zeng, Shenglai, et al.
Published: (2024)

CleanBase: Detecting Malicious Documents in RAG Knowledge Databases
by: Jin, Weifei, et al.
Published: (2026)

SD-RAG: A Prompt-Injection-Resilient Framework for Selective Disclosure in Retrieval-Augmented Generation
by: Masoud, Aiman Al, et al.
Published: (2026)

KryptoPilot: An Open-World Knowledge-Augmented LLM Agent for Automated Cryptographic Exploitation
by: Liu, Xiaonan, et al.
Published: (2026)

Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications
by: Jiang, Changyue, et al.
Published: (2024)

TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text
by: Lekssays, Ahmed, et al.
Published: (2025)

ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs
by: Fayyazi, Reza, et al.
Published: (2024)

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
by: Choi, Chanwoo, et al.
Published: (2025)

AsmRAG: LLM-Driven Malware Detection by Retrieving Functionally Similar Assembly Code
by: Karbab, ElMouatez Billah
Published: (2026)

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models
by: Shao, Yangguang, et al.
Published: (2025)

Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies
by: Wang, Zihao, et al.
Published: (2024)

WAFBOOSTER: Automatic Boosting of WAF Security Against Mutated Malicious Payloads
by: Wu, Cong, et al.
Published: (2025)

Bridging Expert Reasoning and LLM Detection: A Knowledge-Driven Framework for Malicious Packages
by: Guo, Wenbo, et al.
Published: (2026)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
by: Liang, Xun, et al.
Published: (2025)

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation
by: Zhao, Tianzhe, et al.
Published: (2025)

A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems
by: Liu, Zixuan, et al.
Published: (2025)

Adversarial Distilled Retrieval-Augmented Guarding Model for Online Malicious Intent Detection
by: Guo, Yihao, et al.
Published: (2025)

USBIPS Framework: Protecting Hosts from Malicious USB Peripherals
by: Wang, Chun-Yi, et al.
Published: (2024)

The Communication-Friendly Privacy-Preserving Machine Learning against Malicious Adversaries
by: Lu, Tianpei, et al.
Published: (2024)

Beneath the Mask: Can Contribution Data Unveil Malicious Personas in Open-Source Projects?
by: Nealon, Ruby
Published: (2025)

Advancing Malicious Website Identification: A Machine Learning Approach Using Granular Feature Analysis
by: Tran, Kinh, et al.
Published: (2024)

Detecting Malicious Entra OAuth Apps with LLM-Based Permission Risk Scoring
by: Mahara, Ashim
Published: (2025)

Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain
by: Liu, Hanzhi, et al.
Published: (2026)