Image de couverture de livre

ProHunter: A Comprehensive APT Hunting System Based on Whole-System Provenance

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Qiu, Xuebo, Lv, Mingqi, Zhang, Yimei, Zhu, Tiantian, Chen, Tieming
Format:	Preprint
Publié:	2026
Sujets:	Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

APT-CGLP: Advanced Persistent Threat Hunting via Contrastive Graph-Language Pre-Training
par: Qiu, Xuebo, et autres
Publié: (2025)

APT-MCL: An Adaptive APT Detection System Based on Multi-View Collaborative Provenance Graph Learning
par: Lv, Mingqi, et autres
Publié: (2026)

TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning
par: Lv, Mingqi, et autres
Publié: (2024)

DEHYDRATOR: Enhancing Provenance Graph Storage via Hierarchical Encoding and Sequence Generation
par: Ying, Jie, et autres
Publié: (2024)

ActMiner: Applying Causality Tracking and Increment Aligning for Graph-based Cyber Threat Hunting
par: Ma, Mingjun, et autres
Publié: (2025)

SPARSE: Semantic Tracking and Path Analysis for Attack Investigation in Real-time
par: Ying, Jie, et autres
Publié: (2024)

Nip in the Bud: Forecasting and Interpreting Post-exploitation Attacks in Real-time through Cyber Threat Intelligence Reports
par: Zhu, Tiantian, et autres
Publié: (2024)

A Cascade Approach for APT Campaign Attribution in System Event Logs: Technique Hunting and Subgraph Matching
par: Huang, Yi-Ting, et autres
Publié: (2024)

CRUcialG: Reconstruct Integrated Attack Scenario Graphs by Cyber Threat Intelligence Reports
par: Cheng, Wenrui, et autres
Publié: (2024)

Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning
par: Qiao, Wei, et autres
Publié: (2024)

TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph
par: Jiang, Wenhan, et autres
Publié: (2025)

Knowledge Transfer from LLMs to Provenance Analysis: A Semantic-Augmented Method for APT Detection
par: Zuo, Fei, et autres
Publié: (2025)

P3GNN: A Privacy-Preserving Provenance Graph-Based Model for APT Detection in Software Defined Networking
par: Nazari, Hedyeh, et autres
Publié: (2024)

ProGQL: A Provenance Graph Query System for Cyber Attack Investigation
par: Shao, Fei, et autres
Publié: (2025)

Distributed Temporal Graph Learning with Provenance for APT Detection in Supply Chains
par: Tan, Zhuoran, et autres
Publié: (2025)

Bounty Hunter: Autonomous, Comprehensive Emulation of Multi-Faceted Adversaries
par: Hackländer-Jansen, Louis, et autres
Publié: (2025)

IPBAC: Interaction Provenance-Based Access Control for Secure and Privacy-Aware Systems
par: Zisad, Sharif Noor, et autres
Publié: (2026)

Learning the APT Kill Chain: Temporal Reasoning over Provenance Data for Attack Stage Estimation
par: Phan, Trung V., et autres
Publié: (2026)

HADES: Detecting Active Directory Attacks via Whole Network Provenance Analytics
par: Liu, Qi, et autres
Publié: (2024)

METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift
par: Ying, Jie, et autres
Publié: (2024)

SAGA: Synthetic Audit Log Generation for APT Campaigns
par: Huang, Yi-Ting, et autres
Publié: (2024)

SHIELD: APT Detection and Intelligent Explanation Using LLM
par: Gandhi, Parth Atulbhai, et autres
Publié: (2025)

APT-ClaritySet: A Large-Scale, High-Fidelity Labeled Dataset for APT Malware with Alias Normalization and Graph-Based Deduplication
par: Yin, Zhenhao, et autres
Publié: (2025)

HuntFUZZ: Enhancing Error Handling Testing through Clustering Based Fuzzing
par: Wei, Jin, et autres
Publié: (2024)

CICAPT-IIOT: A provenance-based APT attack dataset for IIoT environment
par: Ghiasvand, Erfan, et autres
Publié: (2024)

OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
par: Aly, Ahmed, et autres
Publié: (2025)

A Comprehensive Evaluation and Practice of System Penetration Testing
par: Zhang, Chunyi, et autres
Publié: (2025)

OMNISEC: LLM-Driven Provenance-based Intrusion Detection via Retrieval-Augmented Behavior Prompting
par: Cheng, Wenrui, et autres
Publié: (2025)

APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models
par: Benabderrahmane, Sidahmed, et autres
Publié: (2025)

Hunting Vulnerability Variants in AI Infra: Measurement and Reference-Driven Detection
par: Dong, Tian, et autres
Publié: (2026)

PIDSMaker: Building and Evaluating Provenance-based Intrusion Detection Systems
par: Bilot, Tristan, et autres
Publié: (2026)

NeuroTrace: Inference Provenance-Based Detection of Adversarial Examples
par: Hmida, Firas Ben, et autres
Publié: (2026)

The Procedural Semantics Gap in Structured CTI: A Measurement-Driven STIX Analysis for APT Emulation
par: Ferraz, Ágney Lopes Roth, et autres
Publié: (2025)

LLM-Driven APT Detection for 6G Wireless Networks: A Systematic Review and Taxonomy
par: Golec, Muhammed, et autres
Publié: (2025)

How Far Should We Need to Go : Evaluate Provenance-based Intrusion Detection Systems in Industrial Scenarios
par: Xiao, Yue, et autres
Publié: (2026)

MirGuard: Towards a Robust Provenance-based Intrusion Detection System Against Graph Manipulation Attacks
par: Sang, Anyuan, et autres
Publié: (2025)

Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection
par: Yang, Fan, et autres
Publié: (2026)

TPPR: APT Tactic / Technique Pattern Guided Attack Path Reasoning for Attack Investigation
par: Sheng, Qi
Publié: (2025)

HunterAgent: Neuro-Symbolic Attack Trace Reconstruction under Anti-Forensics
par: Zhao, Guangze, et autres
Publié: (2026)

APThreatHunter: An automated planning-based threat hunting framework
par: Abdelwahed, Mustafa F., et autres
Publié: (2025)