Enregistré dans:
| Auteurs principaux: | Lotfi, Alireza, Katsis, Charalampos, Bertino, Elisa |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2509.24037 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
ZT-SDN: An ML-powered Zero-Trust Architecture for Software-Defined Networks
par: Katsis, Charalampos, et autres
Publié: (2024)
par: Katsis, Charalampos, et autres
Publié: (2024)
Zero-Trust Strategies for O-RAN Cellular Networks: Principles, Challenges and Research Directions
par: Katsis, Charalampos, et autres
Publié: (2025)
par: Katsis, Charalampos, et autres
Publié: (2025)
Graphene: Infrastructure Security Posture Analysis with AI-generated Attack Graphs
par: Jin, Xin, et autres
Publié: (2023)
par: Jin, Xin, et autres
Publié: (2023)
LFreeDA: Label-Free Drift Adaptation for Windows Malware Detection
par: Li, Adrian Shuai, et autres
Publié: (2025)
par: Li, Adrian Shuai, et autres
Publié: (2025)
LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models
par: Akil, Md Ajwad, et autres
Publié: (2025)
par: Akil, Md Ajwad, et autres
Publié: (2025)
Breaking 5G on The Lower Layer
par: Shanto, Subangkar Karmaker, et autres
Publié: (2026)
par: Shanto, Subangkar Karmaker, et autres
Publié: (2026)
Gotta Detect 'Em All: Fake Base Station and Multi-Step Attack Detection in Cellular Networks
par: Mubasshir, Kazi Samin, et autres
Publié: (2024)
par: Mubasshir, Kazi Samin, et autres
Publié: (2024)
Information Theoretic Adversarial Training of Large Language Models
par: Zhang, Yiwei, et autres
Publié: (2026)
par: Zhang, Yiwei, et autres
Publié: (2026)
CellularLint: A Systematic Approach to Identify Inconsistent Behavior in Cellular Network Specifications
par: Rahman, Mirza Masfiqur, et autres
Publié: (2024)
par: Rahman, Mirza Masfiqur, et autres
Publié: (2024)
Can Drift-Adaptive Malware Detectors Be Made Robust? Attacks and Defenses Under White-Box and Black-Box Threats
par: Li, Adrian Shuai, et autres
Publié: (2026)
par: Li, Adrian Shuai, et autres
Publié: (2026)
vEcho: A Paradigm Shift from Vulnerability Verification to Proactive Discovery with Large Language Models
par: Jiang, Mingcheng, et autres
Publié: (2026)
par: Jiang, Mingcheng, et autres
Publié: (2026)
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
par: Li, Adrian Shuai, et autres
Publié: (2024)
par: Li, Adrian Shuai, et autres
Publié: (2024)
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?
par: Mostafiz, Mir Imtiaz, et autres
Publié: (2025)
par: Mostafiz, Mir Imtiaz, et autres
Publié: (2025)
SoK: Leveraging Transformers for Malware Analysis
par: Kunwar, Pradip, et autres
Publié: (2024)
par: Kunwar, Pradip, et autres
Publié: (2024)
A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-case Prototypes
par: Lazer, Sahaya Jestus, et autres
Publié: (2026)
par: Lazer, Sahaya Jestus, et autres
Publié: (2026)
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
par: Zhang, Yiwei, et autres
Publié: (2025)
par: Zhang, Yiwei, et autres
Publié: (2025)
Weaponizing Language Models for Cybersecurity Offensive Operations: Automating Vulnerability Assessment Report Validation; A Review Paper
par: Almuhaidib, Abdulrahman S, et autres
Publié: (2025)
par: Almuhaidib, Abdulrahman S, et autres
Publié: (2025)
Transfer Learning for Security: Challenges and Future Directions
par: Li, Adrian Shuai, et autres
Publié: (2024)
par: Li, Adrian Shuai, et autres
Publié: (2024)
FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge
par: Lan, Jiahe, et autres
Publié: (2023)
par: Lan, Jiahe, et autres
Publié: (2023)
Toward Automated Security Risk Detection in Large Software Using Call Graph Analysis
par: Pecka, Nicholas, et autres
Publié: (2025)
par: Pecka, Nicholas, et autres
Publié: (2025)
Quantum-Resistant Networks: A Review of Primitives, Protocols and Best Practices
par: Bertino, Elisa, et autres
Publié: (2026)
par: Bertino, Elisa, et autres
Publié: (2026)
CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
par: Li, Zhihao, et autres
Publié: (2025)
par: Li, Zhihao, et autres
Publié: (2025)
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
par: Fakih, Mohamad, et autres
Publié: (2025)
par: Fakih, Mohamad, et autres
Publié: (2025)
An Investigation of Large Language Models and Their Vulnerabilities in Spam Detection
par: Tang, Qiyao, et autres
Publié: (2025)
par: Tang, Qiyao, et autres
Publié: (2025)
EvilScreen Attack: Smart TV Hijacking via Multi-channel Remote Control Mimicry
par: Zhang, Yiwei, et autres
Publié: (2022)
par: Zhang, Yiwei, et autres
Publié: (2022)
Semi-Automated Threat Modeling of Cloud-Based Systems Through Extracting Software Architecture from Configuration and Network Flow
par: Pecka, Nicholas, et autres
Publié: (2026)
par: Pecka, Nicholas, et autres
Publié: (2026)
APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
par: Nong, Yu, et autres
Publié: (2024)
par: Nong, Yu, et autres
Publié: (2024)
Evaluating and Enhancing the Vulnerability Reasoning Capabilities of Large Language Models
par: Lu, Li, et autres
Publié: (2026)
par: Lu, Li, et autres
Publié: (2026)
Future-Proofing Authentication Against Insecure Bootstrapping for 5G Networks: Feasibility, Resiliency, and Accountability
par: Darzi, Saleh, et autres
Publié: (2025)
par: Darzi, Saleh, et autres
Publié: (2025)
Proving DNSSEC Correctness: A Formal Approach to Secure Domain Name Resolution
par: Zhang, Qifan, et autres
Publié: (2025)
par: Zhang, Qifan, et autres
Publié: (2025)
Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects
par: Heiding, Fred, et autres
Publié: (2024)
par: Heiding, Fred, et autres
Publié: (2024)
LAAF: Logic-layer Automated Attack Framework A Systematic Red-Teaming Methodology for LPCI Vulnerabilities in Agentic Large Language Model Systems
par: Atta, Hammad, et autres
Publié: (2026)
par: Atta, Hammad, et autres
Publié: (2026)
An Automated Attack Investigation Approach Leveraging Threat-Knowledge-Augmented Large Language Models
par: Dai, Rujie, et autres
Publié: (2025)
par: Dai, Rujie, et autres
Publié: (2025)
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning
par: Zhang, Yiwei, et autres
Publié: (2024)
par: Zhang, Yiwei, et autres
Publié: (2024)
Validating Threat Modeling Results with the Help of Vulnerable Test Applications
par: Adamov, Oleksandr, et autres
Publié: (2026)
par: Adamov, Oleksandr, et autres
Publié: (2026)
Soley: Identification and Automated Detection of Logic Vulnerabilities in Ethereum Smart Contracts Using Large Language Models
par: Soud, Majd, et autres
Publié: (2024)
par: Soud, Majd, et autres
Publié: (2024)
Generative Large Language Model usage in Smart Contract Vulnerability Detection
par: Ince, Peter, et autres
Publié: (2025)
par: Ince, Peter, et autres
Publié: (2025)
SoK: Understanding Vulnerabilities in the Large Language Model Supply Chain
par: Wang, Shenao, et autres
Publié: (2025)
par: Wang, Shenao, et autres
Publié: (2025)
A Comprehensive Study of Supervised Machine Learning Models for Zero-Day Attack Detection: Analyzing Performance on Imbalanced Data
par: Lotfi, Zahra, et autres
Publié: (2025)
par: Lotfi, Zahra, et autres
Publié: (2025)
Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning
par: Zhang, Yiwei, et autres
Publié: (2025)
par: Zhang, Yiwei, et autres
Publié: (2025)
Documents similaires
-
ZT-SDN: An ML-powered Zero-Trust Architecture for Software-Defined Networks
par: Katsis, Charalampos, et autres
Publié: (2024) -
Zero-Trust Strategies for O-RAN Cellular Networks: Principles, Challenges and Research Directions
par: Katsis, Charalampos, et autres
Publié: (2025) -
Graphene: Infrastructure Security Posture Analysis with AI-generated Attack Graphs
par: Jin, Xin, et autres
Publié: (2023) -
LFreeDA: Label-Free Drift Adaptation for Windows Malware Detection
par: Li, Adrian Shuai, et autres
Publié: (2025) -
LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models
par: Akil, Md Ajwad, et autres
Publié: (2025)