Cover Image

VOLTRON: Detecting Unknown Malware Using Graph-Based Zero-Shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Akdeniz, M. Tahir, Yeşilkaya, Zeynep, Köse, İ. Enes, Ünal, İ. Ulaş, Şen, Sevil
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning 68T05, 68M25 D.4.6; I.2.6; K.6.5
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable Attention-Based LSTM Framework for Early Detection of AI-Assisted Ransomware via File System Behavioral Analysis
by: Nayak, Prabhudarshi, et al.
Published: (2026)

Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning
by: Huff, Philip, et al.
Published: (2026)

"Abuse Risks are Often Inherent to Product Features": Exploring AI Vendors' Bug Bounty and Responsible Disclosure Policies
by: Piao, Yangheran, et al.
Published: (2025)

The Age of Sensorial Zero Trust: Why We Can No Longer Trust Our Senses
by: Xavier, Fabio Correa
Published: (2025)

PACT: Reducing Alert Fatigue in Low-Prevalence SOC Streams with Triggered Active Learning
by: Ndichu, Samuel, et al.
Published: (2026)

One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT
by: Emmaka, Imraul, et al.
Published: (2025)

Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models
by: Mohamed, Omar Khalid Ali
Published: (2025)

Exploratory Analysis of Cyberattack Patterns on E-Commerce Platforms Using Statistical Methods
by: Adeniya, Fatimo Adenike
Published: (2025)

Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning
by: Brännvall, Rickard, et al.
Published: (2025)

A TEE-Based Architecture for Confidential and Dependable Process Attestation in Authorship Verification
by: Condrey, David
Published: (2026)

When the Agent Is the Adversary: Architectural Requirements for Agentic AI Containment After the April 2026 Frontier Model Escape
by: Mitchell, Richard Joseph
Published: (2026)

Expanding the Attack Scenarios of SAE J1939: A Comprehensive Analysis of Established and Novel Vulnerabilities in Transport Protocol
by: Lee, Hwejae, et al.
Published: (2024)

Minimizing the Number of Roles in Bottom-Up Role-Mining using Maximal Biclique Enumeration
by: Tripunitara, Mahesh
Published: (2024)

$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
by: Dang, Kieu, et al.
Published: (2025)

Evaluating Argon2 Adoption and Effectiveness in Real-World Software
by: Tippe, Pascal, et al.
Published: (2025)

A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems
by: Ismail, Nasim Abdirahman, et al.
Published: (2026)

Unified Framework for Qualifying Security Boundary of PUFs Against Machine Learning Attacks
by: Fei, Hongming, et al.
Published: (2026)

Safety, Security, and Cognitive Risks in World Models
by: Parmar, Manoj
Published: (2026)

Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning
by: Brännvall, Rickard
Published: (2025)

DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
by: Lee, Chaeyoung, et al.
Published: (2026)

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs
by: Collu, Matteo Gioele, et al.
Published: (2023)

Recovering WPA-3 Network Password by Bypassing the Simultaneous Authentication of Equals Handshake using Social Engineering Captive Portal
by: Chadee, Kyle, et al.
Published: (2024)

RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks
by: Chakraborty, Amit, et al.
Published: (2025)

Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets
by: Paredes, Carlos A. Durán, et al.
Published: (2026)

Memory Forensics Techniques for Automated Detection and Analysis of Go Malware
by: Ali, Hala, et al.
Published: (2026)

Agentic Artificial Intelligence for Ethical Cybersecurity in Uganda: A Reinforcement Learning Framework for Threat Detection in Resource-Constrained Environments
by: Adabara, Ibrahim, et al.
Published: (2025)

Robustness, Cost, and Attack-Surface Concentration in Phishing Detection
by: Allagan, Julian, et al.
Published: (2026)

OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques
by: Saini, Varij, et al.
Published: (2025)

zk-Agreements: A Privacy-Preserving Way to Establish Deterministic Trust in Confidential Agreements
by: Liu, To-Wen, et al.
Published: (2025)

Revisiting Third-Party Library Detection: A Ground Truth Dataset and Its Implications Across Security Tasks
by: Gu, Jintao, et al.
Published: (2025)

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs
by: Hill, Brennen, et al.
Published: (2025)

Blockchain-Based Secure Online Voting Platform Ensuring Voter Anonymity, Integrity, and End-to-End Verifiability
by: Tahboub, Yousef, et al.
Published: (2025)

User-space library rootkits revisited: Are user-space detection mechanisms futile?
by: Soriano-Salvador, Enrique, et al.
Published: (2025)

Paths Not Taken: A Secure Computing Tutorial
by: Boebert, William Earl
Published: (2025)

BreakFun: Jailbreaking LLMs via Schema Exploitation
by: Oskooei, Amirkia Rafiei, et al.
Published: (2025)

Detecting and Mitigating SQL Injection Vulnerabilities in Web Applications
by: Neupane, Sagar
Published: (2025)

Static Attribution of Android Residential Proxy Malware Using Graph Kernels
by: Clark, Peter, et al.
Published: (2026)

ARMOUR US: Android Runtime Zero-permission Sensor Usage Monitoring from User Space
by: Long, Yan, et al.
Published: (2025)

Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions
by: Fayyaz, Yasamin, et al.
Published: (2026)

Can AI Keep a Secret? Contextual Integrity Verification: A Provable Security Architecture for LLMs
by: Gupta, Aayush
Published: (2025)