Learning Intrusion Prevention Policies through Optimal Stopping
Fuente:
arXiv
Guardado en:
| Autores principales: | Hammar, Kim, Stadler, Rolf |
|---|---|
| Formato: | Preprint |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Intrusion Prevention through Optimal Stopping
por: Hammar, Kim, et al.
Publicado: (2021)
por: Hammar, Kim, et al.
Publicado: (2021)
Finding Effective Security Strategies through Reinforcement Learning and Self-Play
por: Hammar, Kim, et al.
Publicado: (2020)
por: Hammar, Kim, et al.
Publicado: (2020)
Deciding When Not to Decide: Indeterminacy-Aware Intrusion Detection with NeutroSENSE
por: Al-Masri, Eyhab
Publicado: (2025)
por: Al-Masri, Eyhab
Publicado: (2025)
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
por: Kaya, Kiymet, et al.
Publicado: (2024)
por: Kaya, Kiymet, et al.
Publicado: (2024)
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis
por: Kouchaki, Mohammadreza, et al.
Publicado: (2024)
por: Kouchaki, Mohammadreza, et al.
Publicado: (2024)
Sdn Intrusion Detection Using Machine Learning Method
por: Mahmud, Muhammad Zawad, et al.
Publicado: (2024)
por: Mahmud, Muhammad Zawad, et al.
Publicado: (2024)
Online Self-Supervised Deep Learning for Intrusion Detection Systems
por: Nakıp, Mert, et al.
Publicado: (2023)
por: Nakıp, Mert, et al.
Publicado: (2023)
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
por: Cantone, Marco, et al.
Publicado: (2024)
por: Cantone, Marco, et al.
Publicado: (2024)
STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning
por: Wang, Kai, et al.
Publicado: (2023)
por: Wang, Kai, et al.
Publicado: (2023)
Integration of AI in Cybersecurity: Current Trends with a Focused Look at Intrusion Detection Applications
por: Tazili, S., et al.
Publicado: (2026)
por: Tazili, S., et al.
Publicado: (2026)
Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox
por: Alshmarni, Amaal F., et al.
Publicado: (2023)
por: Alshmarni, Amaal F., et al.
Publicado: (2023)
A Review of Machine Learning-based Security in Cloud Computing
por: Babaei, Aptin, et al.
Publicado: (2023)
por: Babaei, Aptin, et al.
Publicado: (2023)
Sequential Binary Classification for Intrusion Detection
por: Vasudevan, Shrihari, et al.
Publicado: (2024)
por: Vasudevan, Shrihari, et al.
Publicado: (2024)
Towards Explainable Network Intrusion Detection using Large Language Models
por: Houssel, Paul R. B., et al.
Publicado: (2024)
por: Houssel, Paul R. B., et al.
Publicado: (2024)
Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection
por: Tripathy, Sudhanshu Sekhar, et al.
Publicado: (2025)
por: Tripathy, Sudhanshu Sekhar, et al.
Publicado: (2025)
Novel Approach to Intrusion Detection: Introducing GAN-MSCNN-BILSTM with LIME Predictions
por: Benchama, Asmaa, et al.
Publicado: (2024)
por: Benchama, Asmaa, et al.
Publicado: (2024)
An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
por: Vitorino, João, et al.
Publicado: (2024)
por: Vitorino, João, et al.
Publicado: (2024)
Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
por: Baidar, Rasil, et al.
Publicado: (2025)
por: Baidar, Rasil, et al.
Publicado: (2025)
Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection
por: Kostas, Kahraman, et al.
Publicado: (2024)
por: Kostas, Kahraman, et al.
Publicado: (2024)
Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions
por: Yang, Shuo, et al.
Publicado: (2025)
por: Yang, Shuo, et al.
Publicado: (2025)
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
por: Silva, Miguel, et al.
Publicado: (2024)
por: Silva, Miguel, et al.
Publicado: (2024)
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
por: Gupta, Ragini, et al.
Publicado: (2025)
por: Gupta, Ragini, et al.
Publicado: (2025)
Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining
por: Vitale, Francesco, et al.
Publicado: (2026)
por: Vitale, Francesco, et al.
Publicado: (2026)
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
por: Luay, Majed, et al.
Publicado: (2025)
por: Luay, Majed, et al.
Publicado: (2025)
Interpreting Manifolds and Graph Neural Embeddings from Internet of Things Traffic Flows
por: Feito-Casares, Enrique, et al.
Publicado: (2026)
por: Feito-Casares, Enrique, et al.
Publicado: (2026)
Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification
por: Huang, Sizhe, et al.
Publicado: (2026)
por: Huang, Sizhe, et al.
Publicado: (2026)
Detecting and Mitigating DDoS Attacks with AI: A Survey
por: Apostu, Alexandru, et al.
Publicado: (2025)
por: Apostu, Alexandru, et al.
Publicado: (2025)
Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence
por: Fu, Rong, et al.
Publicado: (2026)
por: Fu, Rong, et al.
Publicado: (2026)
On the Detection of Non-Cooperative RISs: Scan B-Testing via Deep Support Vector Data Description
por: Stamatelis, George, et al.
Publicado: (2024)
por: Stamatelis, George, et al.
Publicado: (2024)
An Attentive Graph Agent for Topology-Adaptive Cyber Defence
por: Sandoval, Ilya Orson, et al.
Publicado: (2025)
por: Sandoval, Ilya Orson, et al.
Publicado: (2025)
PHASE: Passive Human Activity Simulation Evaluation
por: Lamp, Steven, et al.
Publicado: (2025)
por: Lamp, Steven, et al.
Publicado: (2025)
Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection
por: Kalogiannis, Konstantinos, et al.
Publicado: (2025)
por: Kalogiannis, Konstantinos, et al.
Publicado: (2025)
ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis
por: Shajarian, Shaghayegh, et al.
Publicado: (2025)
por: Shajarian, Shaghayegh, et al.
Publicado: (2025)
F-KANs: Federated Kolmogorov-Arnold Networks
por: Zeydan, Engin, et al.
Publicado: (2024)
por: Zeydan, Engin, et al.
Publicado: (2024)
Towards a graph-based foundation model for network traffic analysis
por: Van Langendonck, Louis, et al.
Publicado: (2024)
por: Van Langendonck, Louis, et al.
Publicado: (2024)
Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services
por: Cheng, Zhipeng, et al.
Publicado: (2025)
por: Cheng, Zhipeng, et al.
Publicado: (2025)
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
por: Kostas, Kahraman, et al.
Publicado: (2023)
por: Kostas, Kahraman, et al.
Publicado: (2023)
MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs
por: Sharma, Prakhar, et al.
Publicado: (2025)
por: Sharma, Prakhar, et al.
Publicado: (2025)
Hybridizing Base-Line 2D-CNN Model with Cat Swarm Optimization for Enhanced Advanced Persistent Threat Detection
por: Bakhiet, Ali M., et al.
Publicado: (2024)
por: Bakhiet, Ali M., et al.
Publicado: (2024)
AI/ML Based Detection and Categorization of Covert Communication in IPv6 Network
por: Rahman, Mohammad Wali Ur, et al.
Publicado: (2025)
por: Rahman, Mohammad Wali Ur, et al.
Publicado: (2025)
Ejemplares similares
-
Intrusion Prevention through Optimal Stopping
por: Hammar, Kim, et al.
Publicado: (2021) -
Finding Effective Security Strategies through Reinforcement Learning and Self-Play
por: Hammar, Kim, et al.
Publicado: (2020) -
Deciding When Not to Decide: Indeterminacy-Aware Intrusion Detection with NeutroSENSE
por: Al-Masri, Eyhab
Publicado: (2025) -
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
por: Kaya, Kiymet, et al.
Publicado: (2024) -
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis
por: Kouchaki, Mohammadreza, et al.
Publicado: (2024)