Machine Learning-Based Detection of MCP Attacks
Fuente:
arXiv
Guardado en:
| Autores principales: | Mattsson, Tobias, Nyberg, Samuel, Borg, Anton, Britto, Ricardo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Cryptographic Registry Provenance: Structural Defense Against Dependency Confusion in AI Package Ecosystems
por: McCann, Alan L.
Publicado: (2026)
por: McCann, Alan L.
Publicado: (2026)
FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction
por: Chen, Jiachi, et al.
Publicado: (2025)
por: Chen, Jiachi, et al.
Publicado: (2025)
Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches
por: Wienczkowski, Michael
Publicado: (2026)
por: Wienczkowski, Michael
Publicado: (2026)
You Don't Need Public Tests to Generate Correct Code
por: Silva, Kaushitha, et al.
Publicado: (2026)
por: Silva, Kaushitha, et al.
Publicado: (2026)
Evaluating Cryptographic API Misuse Detectors for Go
por: Andersson, Vivi, et al.
Publicado: (2026)
por: Andersson, Vivi, et al.
Publicado: (2026)
Automated Vulnerability Detection Using Deep Learning Technique
por: Yang, Guan-Yan, et al.
Publicado: (2024)
por: Yang, Guan-Yan, et al.
Publicado: (2024)
Code Generation for Machine Learning using Model-Driven Engineering and SysML
por: Raedler, Simon, et al.
Publicado: (2023)
por: Raedler, Simon, et al.
Publicado: (2023)
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation
por: Eom, Jueon, et al.
Publicado: (2024)
por: Eom, Jueon, et al.
Publicado: (2024)
Anumati: Proof of Adherence as a Formal Consent Model for Autonomous Agent Protocols
por: Kadaboina, Ravi Kiran
Publicado: (2026)
por: Kadaboina, Ravi Kiran
Publicado: (2026)
Kettle: Attested builds for verifiable software provenance
por: Asad, Amean, et al.
Publicado: (2026)
por: Asad, Amean, et al.
Publicado: (2026)
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Survey
por: Ndichu, Samuel, et al.
Publicado: (2026)
por: Ndichu, Samuel, et al.
Publicado: (2026)
A Practical Approach to Formal Methods: An Eclipse Integrated Development Environment (IDE) for Security Protocols
por: Garcia, Rémi, et al.
Publicado: (2024)
por: Garcia, Rémi, et al.
Publicado: (2024)
Model checking of hyperproperties for high-level relational models
por: Macedo, Nuno, et al.
Publicado: (2025)
por: Macedo, Nuno, et al.
Publicado: (2025)
Firmware Distribution as Attack Surface: A Security Study of ASIC Cryptocurrency Miners
por: Pouliquen, Pierre, et al.
Publicado: (2026)
por: Pouliquen, Pierre, et al.
Publicado: (2026)
Variables are a Curse in Software Vulnerability Prediction
por: Groppe, Jinghua, et al.
Publicado: (2024)
por: Groppe, Jinghua, et al.
Publicado: (2024)
AutoSOUP: Safety-Oriented Unit Proof Generation for Component-level Memory-Safety Verification
por: Amusuo, Paschal C., et al.
Publicado: (2026)
por: Amusuo, Paschal C., et al.
Publicado: (2026)
Influence of Autoencoder Latent Space on Classifying IoT CoAP Attacks
por: García-Ordás, María Teresa, et al.
Publicado: (2026)
por: García-Ordás, María Teresa, et al.
Publicado: (2026)
AgentBound: Securing Execution Boundaries of AI Agents
por: Bühler, Christoph, et al.
Publicado: (2025)
por: Bühler, Christoph, et al.
Publicado: (2025)
The Range Shrinks, the Threat Remains: Re-evaluating LLM Package Hallucinations on the 2026 Frontier-Model Cohort
por: Churilov, Aleksandr
Publicado: (2026)
por: Churilov, Aleksandr
Publicado: (2026)
Cross-ecosystem categorization: A manual-curation protocol for the categorization of Java Maven libraries along Python PyPI Topics
por: Paramitha, Ranindya, et al.
Publicado: (2024)
por: Paramitha, Ranindya, et al.
Publicado: (2024)
Can Graph-Based Microservice Performance Detection Be Used for Microservice Intrusion Detection?
por: Ma, Yunjian
Publicado: (2026)
por: Ma, Yunjian
Publicado: (2026)
Cognitive Atrophy and Systemic Collapse in AI-Dependent Software Engineering
por: Ginac, Frank
Publicado: (2026)
por: Ginac, Frank
Publicado: (2026)
Automated Deep Learning Optimization via DSL-Based Source Code Transformation
por: Wang, Ruixin, et al.
Publicado: (2024)
por: Wang, Ruixin, et al.
Publicado: (2024)
Provable Repair of Deep Neural Network Defects by Preimage Synthesis and Property Refinement
por: Ma, Jianan, et al.
Publicado: (2025)
por: Ma, Jianan, et al.
Publicado: (2025)
SeMA: Extending and Analyzing Storyboards to Develop Secure Android Apps
por: Mitra, Joydeep, et al.
Publicado: (2020)
por: Mitra, Joydeep, et al.
Publicado: (2020)
Certified Purity for Cognitive Workflow Executors: From Static Analysis to Cryptographic Attestation
por: McCann, Alan L.
Publicado: (2026)
por: McCann, Alan L.
Publicado: (2026)
FalseCrashReducer: Mitigating False Positive Crashes in OSS-Fuzz-Gen Using Agentic AI
por: Amusuo, Paschal C., et al.
Publicado: (2025)
por: Amusuo, Paschal C., et al.
Publicado: (2025)
NeuroLog: Reasoning You Can Audit -- Neuro-Symbolic Vulnerability Discovery via LLM Facts, Datalog, and SMT
por: Rawat, Sanjay
Publicado: (2026)
por: Rawat, Sanjay
Publicado: (2026)
How Worrying Are Privacy Attacks Against Machine Learning?
por: Domingo-Ferrer, Josep
Publicado: (2025)
por: Domingo-Ferrer, Josep
Publicado: (2025)
Bringing Private Reads to Hyperledger Fabric via Private Information Retrieval
por: Iasenovets, Artur, et al.
Publicado: (2025)
por: Iasenovets, Artur, et al.
Publicado: (2025)
The Specification as Quality Gate: Three Hypotheses on AI-Assisted Code Review
por: Zietsman, Christo
Publicado: (2026)
por: Zietsman, Christo
Publicado: (2026)
Orion: Fuzzing Workflow Automation
por: Bazalii, Max, et al.
Publicado: (2025)
por: Bazalii, Max, et al.
Publicado: (2025)
A Self-Improving Architecture for Dynamic Safety in Large Language Models
por: Slater, Tyler
Publicado: (2025)
por: Slater, Tyler
Publicado: (2025)
Federated Learning: An approach with Hybrid Homomorphic Encryption
por: Correia, Pedro, et al.
Publicado: (2025)
por: Correia, Pedro, et al.
Publicado: (2025)
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets
por: Chakraborty, Partha, et al.
Publicado: (2024)
por: Chakraborty, Partha, et al.
Publicado: (2024)
Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
por: Huang, Xuanxiang, et al.
Publicado: (2025)
por: Huang, Xuanxiang, et al.
Publicado: (2025)
GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context
por: Bansimba, Gilda Rech, et al.
Publicado: (2026)
por: Bansimba, Gilda Rech, et al.
Publicado: (2026)
Secure coding for web applications: Frameworks, challenges, and the role of LLMs
por: Kiashemshaki, Kiana, et al.
Publicado: (2025)
por: Kiashemshaki, Kiana, et al.
Publicado: (2025)
Secure and Scalable Blockchain Voting: A Comparative Framework and the Role of Large Language Models
por: Kiashemshaki, Kiana, et al.
Publicado: (2025)
por: Kiashemshaki, Kiana, et al.
Publicado: (2025)
Automatically Detecting Numerical Instability in Machine Learning Applications via Soft Assertions
por: Sharmin, Shaila, et al.
Publicado: (2025)
por: Sharmin, Shaila, et al.
Publicado: (2025)
Ejemplares similares
-
Cryptographic Registry Provenance: Structural Defense Against Dependency Confusion in AI Package Ecosystems
por: McCann, Alan L.
Publicado: (2026) -
FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction
por: Chen, Jiachi, et al.
Publicado: (2025) -
Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches
por: Wienczkowski, Michael
Publicado: (2026) -
You Don't Need Public Tests to Generate Correct Code
por: Silva, Kaushitha, et al.
Publicado: (2026) -
Evaluating Cryptographic API Misuse Detectors for Go
por: Andersson, Vivi, et al.
Publicado: (2026)