Intrusion Detection System Using Deep Learning for Network Security
Fuente:
arXiv
Guardado en:
| Autores principales: | Chatterjee, Soham, Chaudhary, Satvik, Cherukuri, Aswani Kumar |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Large Language Models for Cyber Security
por: Somani, Raunak, et al.
Publicado: (2025)
por: Somani, Raunak, et al.
Publicado: (2025)
Comparative Evaluation of VAE, GAN, and SMOTE for Tor Detection in Encrypted Network Traffic
por: A, Saravanan, et al.
Publicado: (2026)
por: A, Saravanan, et al.
Publicado: (2026)
Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models
por: Singh, Kalindi, et al.
Publicado: (2025)
por: Singh, Kalindi, et al.
Publicado: (2025)
Analysis of Light-Weight Cryptography Algorithms for UAV-Networks
por: Patel, Aanchal, et al.
Publicado: (2025)
por: Patel, Aanchal, et al.
Publicado: (2025)
Confidential Computing for Cloud Security: Exploring Hardware based Encryption Using Trusted Execution Environments
por: Agarwal, Dhruv Deepak, et al.
Publicado: (2025)
por: Agarwal, Dhruv Deepak, et al.
Publicado: (2025)
Encrypted Federated Search Using Homomorphic Encryption
por: Rathod, Om, et al.
Publicado: (2025)
por: Rathod, Om, et al.
Publicado: (2025)
Blockchain-Integrated Privacy-Preserving Medical Insurance Claim Processing Using Homomorphic Encryption
por: Mamoria, Diya, et al.
Publicado: (2025)
por: Mamoria, Diya, et al.
Publicado: (2025)
On Implementing Hybrid Post-Quantum End-to-End Encryption
por: Gandhi, Aditi, et al.
Publicado: (2026)
por: Gandhi, Aditi, et al.
Publicado: (2026)
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
por: Kumar, Ayush, et al.
Publicado: (2024)
por: Kumar, Ayush, et al.
Publicado: (2024)
Conceptual Design and Implementation of FIDO2 compatible Smart Card for Decentralized Financial Transaction System
por: Ghosh, Anisha, et al.
Publicado: (2024)
por: Ghosh, Anisha, et al.
Publicado: (2024)
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
por: Chaudhary, Devashish, et al.
Publicado: (2025)
por: Chaudhary, Devashish, et al.
Publicado: (2025)
A Robust Multi-Stage Intrusion Detection System for In-Vehicle Network Security using Hierarchical Federated Learning
por: Althunayyan, Muzun, et al.
Publicado: (2024)
por: Althunayyan, Muzun, et al.
Publicado: (2024)
Deep Learning Algorithms Used in Intrusion Detection Systems -- A Review
por: Kimanzi, Richard, et al.
Publicado: (2024)
por: Kimanzi, Richard, et al.
Publicado: (2024)
ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability
por: Kumar, Ayush, et al.
Publicado: (2025)
por: Kumar, Ayush, et al.
Publicado: (2025)
AndroIDS : Android-based Intrusion Detection System using Federated Learning
por: Nair, Akarsh K, et al.
Publicado: (2025)
por: Nair, Akarsh K, et al.
Publicado: (2025)
Advancing CAN Network Security through RBM-Based Synthetic Attack Data Generation for Intrusion Detection Systems
por: Li, Huacheng, et al.
Publicado: (2025)
por: Li, Huacheng, et al.
Publicado: (2025)
Deep Learning-based Intrusion Detection Systems: A Survey
por: Xu, Zhiwei, et al.
Publicado: (2025)
por: Xu, Zhiwei, et al.
Publicado: (2025)
Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey
por: Gueriani, Afrah, et al.
Publicado: (2024)
por: Gueriani, Afrah, et al.
Publicado: (2024)
Investigating Application of Deep Neural Networks in Intrusion Detection System Design
por: Jeje, Mofe O.
Publicado: (2025)
por: Jeje, Mofe O.
Publicado: (2025)
SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection
por: Amalapuram, Suresh Kumar, et al.
Publicado: (2024)
por: Amalapuram, Suresh Kumar, et al.
Publicado: (2024)
Enhancing Automotive Security with a Hybrid Approach towards Universal Intrusion Detection System
por: Islam, Md Rezanur, et al.
Publicado: (2025)
por: Islam, Md Rezanur, et al.
Publicado: (2025)
SoK: Reshaping Research on Network Intrusion Detection Systems
por: Apruzzese, Giovanni
Publicado: (2026)
por: Apruzzese, Giovanni
Publicado: (2026)
Secure Audio Embedding in Images using Nature-Inspired Optimization
por: Kumar, Aman, et al.
Publicado: (2025)
por: Kumar, Aman, et al.
Publicado: (2025)
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
por: Yang, Wanrong, et al.
Publicado: (2024)
por: Yang, Wanrong, et al.
Publicado: (2024)
From Detection to Response: A Deep Learning and Retrieval-Augmented Generation Framework for Network Intrusion Mitigation
por: Islam, Md Navid Bin, et al.
Publicado: (2026)
por: Islam, Md Navid Bin, et al.
Publicado: (2026)
Deep Learning-based Embedded Intrusion Detection System for Automotive CAN
por: Khandelwal, Shashwat, et al.
Publicado: (2024)
por: Khandelwal, Shashwat, et al.
Publicado: (2024)
No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection
por: Huang, Yi, et al.
Publicado: (2025)
por: Huang, Yi, et al.
Publicado: (2025)
A PUF-Based Security Framework for Fault and Intrusion Detection
por: Oun, Ahmed, et al.
Publicado: (2026)
por: Oun, Ahmed, et al.
Publicado: (2026)
The Role of Learning in Attacking ML-based Network Intrusion Detection
por: Domico, Kyle, et al.
Publicado: (2026)
por: Domico, Kyle, et al.
Publicado: (2026)
A Collaborative Intrusion Detection System Using Snort IDS Nodes
por: Davies, Tom, et al.
Publicado: (2025)
por: Davies, Tom, et al.
Publicado: (2025)
Federated Intrusion Detection System Based on Unsupervised Machine Learning
por: Gourceyraud, Maxime, et al.
Publicado: (2025)
por: Gourceyraud, Maxime, et al.
Publicado: (2025)
QML-IDS: Quantum Machine Learning Intrusion Detection System
por: Abreu, Diego, et al.
Publicado: (2024)
por: Abreu, Diego, et al.
Publicado: (2024)
FL-DABE-BC: A Privacy-Enhanced, Decentralized Authentication, and Secure Communication for Federated Learning Framework with Decentralized Attribute-Based Encryption and Blockchain for IoT Scenarios
por: Narkedimilli, Sathwik, et al.
Publicado: (2024)
por: Narkedimilli, Sathwik, et al.
Publicado: (2024)
Botnet Detection on CTU-13 Using Lightweight Machine Learning Models
por: Gurappa, Subhash, et al.
Publicado: (2026)
por: Gurappa, Subhash, et al.
Publicado: (2026)
$\text{C}^{2}\text{BNVAE}$: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing
por: Zeng, Yifan
Publicado: (2025)
por: Zeng, Yifan
Publicado: (2025)
IntrusionX: A Hybrid Convolutional-LSTM Deep Learning Framework with Squirrel Search Optimization for Network Intrusion Detection
por: Farabi, Ahsan, et al.
Publicado: (2025)
por: Farabi, Ahsan, et al.
Publicado: (2025)
Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices
por: Ieropoulos, Vasilis, et al.
Publicado: (2026)
por: Ieropoulos, Vasilis, et al.
Publicado: (2026)
Enhancing SCADA Security: Developing a Host-Based Intrusion Detection System to Safeguard Against Cyberattacks
por: Sen, Omer, et al.
Publicado: (2024)
por: Sen, Omer, et al.
Publicado: (2024)
Intrusion Detection in Heterogeneous Networks with Domain-Adaptive Multi-Modal Learning
por: Varghese, Mabin Umman, et al.
Publicado: (2025)
por: Varghese, Mabin Umman, et al.
Publicado: (2025)
Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs
por: Gu, Zhengyao, et al.
Publicado: (2024)
por: Gu, Zhengyao, et al.
Publicado: (2024)
Ejemplares similares
-
Large Language Models for Cyber Security
por: Somani, Raunak, et al.
Publicado: (2025) -
Comparative Evaluation of VAE, GAN, and SMOTE for Tor Detection in Encrypted Network Traffic
por: A, Saravanan, et al.
Publicado: (2026) -
Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models
por: Singh, Kalindi, et al.
Publicado: (2025) -
Analysis of Light-Weight Cryptography Algorithms for UAV-Networks
por: Patel, Aanchal, et al.
Publicado: (2025) -
Confidential Computing for Cloud Security: Exploring Hardware based Encryption Using Trusted Execution Environments
por: Agarwal, Dhruv Deepak, et al.
Publicado: (2025)