Image de couverture de livre

APT-MMF: An advanced persistent threat actor attribution method based on multimodal and multilevel feature fusion

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xiao, Nan, Lang, Bo, Wang, Ting, Chen, Yikai
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

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

RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning
par: Amaru, Yonatan, et autres
Publié: (2024)

Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
par: Basnet, Animesh Singh, et autres
Publié: (2024)

Cybersecurity threat detection based on a UEBA framework using Deep Autoencoders
par: Fuentes, Jose, et autres
Publié: (2025)

Attackers Strike Back? Not Anymore -- An Ensemble of RL Defenders Awakens for APT Detection
par: Benabderrahmane, Sidahmed, et autres
Publié: (2025)

Ransomware threat mitigation through network traffic analysis and machine learning techniques
par: Mehrban, Ali, et autres
Publié: (2024)

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
par: Talukder, Md. Alamin, et autres
Publié: (2024)

DeepStage: Learning Autonomous Defense Policies Against Multi-Stage APT Campaigns
par: Phan, Trung V., et autres
Publié: (2026)

Reassessing feature-based Android malware detection in a contemporary context
par: Muzaffar, Ali, et autres
Publié: (2023)

Android Malware Detection Based on RGB Images and Multi-feature Fusion
par: Wang, Zhiqiang, et autres
Publié: (2024)

Robustness of LLM-enabled vehicle trajectory prediction under data security threats
par: Wang, Feilong, et autres
Publié: (2025)

What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey
par: Rahman, Md Rayhanur, et autres
Publié: (2021)

Improving Location-based Thermal Emission Side-Channel Analysis Using Iterative Transfer Learning
par: Lou, Tun-Chieh, et autres
Publié: (2024)

Ransomware detection using stacked autoencoder for feature selection
par: Nkongolo, Mike, et autres
Publié: (2024)

Efficient Detection of Botnet Traffic by features selection and Decision Trees
par: Velasco-Mata, Javier, et autres
Publié: (2021)

Enhancing web traffic attacks identification through ensemble methods and feature selection
par: Urda, Daniel, et autres
Publié: (2024)

SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI
par: Giddens, Spencer, et autres
Publié: (2024)

MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception
par: Khazanchi, Vidit, et autres
Publié: (2024)

Universal Graph Backdoor Defense: A Feature-based Homophily Perspective
par: Pan, Mengting, et autres
Publié: (2026)

Malicious URL Detection using optimized Hist Gradient Boosting Classifier based on grid search method
par: Maftoun, Mohammad, et autres
Publié: (2024)

ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
par: Chen, Zhaorun, et autres
Publié: (2025)

Is poisoning a real threat to LLM alignment? Maybe more so than you think
par: Pathmanathan, Pankayaraj, et autres
Publié: (2024)

Model Extraction Attacks Revisited
par: Liang, Jiacheng, et autres
Publié: (2023)

Mitigating Indirect Prompt Injection via Instruction-Following Intent Analysis
par: Kang, Mintong, et autres
Publié: (2025)

Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors
par: Sahabandu, Dinuka, et autres
Publié: (2024)

ControlNET: A Firewall for RAG-based LLM System
par: Yao, Hongwei, et autres
Publié: (2025)

AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
par: Liang, Jiacheng, et autres
Publié: (2025)

Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk
par: Li, Zhangheng, et autres
Publié: (2024)

FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigation
par: Xiao, Chenguang, et autres
Publié: (2024)

A Systematic Study of Code Obfuscation Against LLM-based Vulnerability Detection
par: Li, Xiao, et autres
Publié: (2025)

Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
par: Mukherjee, Kunal, et autres
Publié: (2023)

Magnitude-based Neuron Pruning for Backdoor Defens
par: Li, Nan, et autres
Publié: (2024)

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

Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles
par: Zhang, Cui, et autres
Publié: (2024)

Adaptive Probe-based Steering for Robust LLM Jailbreaking
par: Chen, Junxi, et autres
Publié: (2026)

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

Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation
par: Zheng, Weidong, et autres
Publié: (2026)

Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
par: Xin, Yuan, et autres
Publié: (2023)

Game-Theoretic Unlearnable Example Generator
par: Liu, Shuang, et autres
Publié: (2024)