Cover Image

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Songtao, Wang, Lei, Shuai, Wu, Song, Hao, Zhou, Jiajun, Yu, Shanqing, Xuan, Qi
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph
by: Zhou, Jiajun, et al.
Published: (2025)

Traffic-MoE: A Sparse Foundation Model for Network Traffic Analysis
by: Zhou, Jiajun, et al.
Published: (2026)

Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection
by: Zhou, Jiajun, et al.
Published: (2024)

Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs
by: Zhou, Jiajun, et al.
Published: (2024)

Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection
by: Wu, Junhao, et al.
Published: (2025)

Dual-view Aware Smart Contract Vulnerability Detection for Ethereum
by: Yao, Jiacheng, et al.
Published: (2024)

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

ETGuard: Malicious Encrypted Traffic Detection in Blockchain-based Power Grid Systems
by: Zhou, Peng, et al.
Published: (2024)

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

PhishSigma++: Malicious Email Detection with Typed Entity Relations
by: Shang, Shang, et al.
Published: (2026)

Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
by: Duan, Wenjing, et al.
Published: (2026)

Attack Effect Model based Malicious Behavior Detection
by: Wang, Limin, et al.
Published: (2025)

Poisoning Attacks to Local Differential Privacy for Ranking Estimation
by: Zhan, Pei, et al.
Published: (2025)

Multimedia Traffic Anomaly Detection
by: Feng, Tongtong, et al.
Published: (2024)

Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
by: Ipek, Merve Cigdem, et al.
Published: (2025)

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

Hierarchical Manifold Projection for Ransomware Detection: A Novel Geometric Approach to Identifying Malicious Encryption Patterns
by: Pembroke, Frederick, et al.
Published: (2025)

An Explainable AI Model for the Detecting Malicious Smart Contracts Based on EVM Opcode Based Features
by: Surendran, Roopak
Published: (2025)

EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning
by: Wu, Lijin, et al.
Published: (2024)

Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach
by: Stein, Kyle, et al.
Published: (2024)

Malicious Internet Entity Detection Using Local Graph Inference
by: Mandlik, Simon, et al.
Published: (2024)

Benchmarking Large Language Models for Zero-shot and Few-shot Phishing URL Detection
by: Hasan, Najmul, et al.
Published: (2026)

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

Malicious Package Detection using Metadata Information
by: Halder, S., et al.
Published: (2024)

PDFInspect: A Unified Feature Extraction Framework for Malicious Document Detection
by: P, Sharmila S
Published: (2026)

Large Language Models powered Malicious Traffic Detection: Architecture, Opportunities and Case Study
by: Zhang, Xinggong, et al.
Published: (2025)

Meta-UAD: A Meta-Learning Scheme for User-level Network Traffic Anomaly Detection
by: Feng, Tongtong, et al.
Published: (2024)

From Component Manipulation to System Compromise: Understanding and Detecting Malicious MCP Servers
by: Huang, Yiheng, et al.
Published: (2026)

Across-Platform Detection of Malicious Cryptocurrency Transactions via Account Interaction Learning
by: Che, Zheng, et al.
Published: (2024)

Robust Federated Learning for Malicious Clients using Loss Trend Deviation Detection
by: Bhaskar, Deepthy K, et al.
Published: (2026)

IP-Augmented Multi-Modal Malicious URL Detection Via Token-Contrastive Representation Enhancement and Multi-Granularity Fusion
by: Tian, Ye, et al.
Published: (2025)

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

SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills
by: Hou, Yinghan, et al.
Published: (2026)

URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection
by: Tian, Ye, et al.
Published: (2025)

It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
by: Rosenzweig, Ben, et al.
Published: (2025)

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning
by: Kavuri, Likhitha Annapurna, et al.
Published: (2025)

MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting Infrastructure
by: Deniz, Fatih, et al.
Published: (2025)

Malicious ML Model Detection by Learning Dynamic Behaviors
by: Nambiar, Sarang, et al.
Published: (2026)

Hierarchical Polysemantic Feature Embedding for Autonomous Ransomware Detection
by: Nikitka, Sergei, et al.
Published: (2025)

Silent Guardian: Protecting Text from Malicious Exploitation by Large Language Models
by: Zhao, Jiawei, et al.
Published: (2023)