Online Self-Supervised Deep Learning for Intrusion Detection Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Nakıp, Mert, Gelenbe, Erol |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed
by: Nasereddin, Mohammed, et al.
Published: (2023)
by: Nasereddin, Mohammed, et al.
Published: (2023)
Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
by: Baidar, Rasil, et al.
Published: (2025)
by: Baidar, Rasil, et al.
Published: (2025)
Sdn Intrusion Detection Using Machine Learning Method
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)
Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining
by: Vitale, Francesco, et al.
Published: (2026)
by: Vitale, Francesco, et al.
Published: (2026)
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
by: Cantone, Marco, et al.
Published: (2024)
by: Cantone, Marco, et al.
Published: (2024)
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
by: Luay, Majed, et al.
Published: (2025)
by: Luay, Majed, et al.
Published: (2025)
Sequential Binary Classification for Intrusion Detection
by: Vasudevan, Shrihari, et al.
Published: (2024)
by: Vasudevan, Shrihari, et al.
Published: (2024)
An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
by: Vitorino, João, et al.
Published: (2024)
by: Vitorino, João, et al.
Published: (2024)
Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection
by: Tripathy, Sudhanshu Sekhar, et al.
Published: (2025)
by: Tripathy, Sudhanshu Sekhar, et al.
Published: (2025)
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
by: Silva, Miguel, et al.
Published: (2024)
by: Silva, Miguel, et al.
Published: (2024)
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
by: Gupta, Ragini, et al.
Published: (2025)
by: Gupta, Ragini, et al.
Published: (2025)
Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones
by: elShehaby, Mohamed, et al.
Published: (2023)
by: elShehaby, Mohamed, et al.
Published: (2023)
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
by: Vitorino, João, et al.
Published: (2023)
by: Vitorino, João, et al.
Published: (2023)
An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks
by: Tabbaa, Hiba, et al.
Published: (2022)
by: Tabbaa, Hiba, et al.
Published: (2022)
Developing a Transferable Federated Network Intrusion Detection System
by: Jameel, Abu Shafin Mohammad Mahdee, et al.
Published: (2025)
by: Jameel, Abu Shafin Mohammad Mahdee, et al.
Published: (2025)
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
by: Bellante, Armando, et al.
Published: (2025)
by: Bellante, Armando, et al.
Published: (2025)
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
by: Kaya, Kiymet, et al.
Published: (2024)
by: Kaya, Kiymet, et al.
Published: (2024)
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation
by: Nkashama, D'Jeff K., et al.
Published: (2024)
by: Nkashama, D'Jeff K., et al.
Published: (2024)
IoT Network Traffic Analysis with Deep Learning
by: Liu, Mei, et al.
Published: (2024)
by: Liu, Mei, et al.
Published: (2024)
Learning Intrusion Prevention Policies through Optimal Stopping
by: Hammar, Kim, et al.
Published: (2021)
by: Hammar, Kim, et al.
Published: (2021)
Deciding When Not to Decide: Indeterminacy-Aware Intrusion Detection with NeutroSENSE
by: Al-Masri, Eyhab
Published: (2025)
by: Al-Masri, Eyhab
Published: (2025)
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis
by: Kouchaki, Mohammadreza, et al.
Published: (2024)
by: Kouchaki, Mohammadreza, et al.
Published: (2024)
Finding Effective Security Strategies through Reinforcement Learning and Self-Play
by: Hammar, Kim, et al.
Published: (2020)
by: Hammar, Kim, et al.
Published: (2020)
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
by: Kalwar, Jawad Hussain, et al.
Published: (2024)
by: Kalwar, Jawad Hussain, et al.
Published: (2024)
The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
by: Abdi, Nima, et al.
Published: (2024)
by: Abdi, Nima, et al.
Published: (2024)
Backdoor Attacks on Contrastive Continual Learning for IoT Systems
by: Tim, Alfous, et al.
Published: (2026)
by: Tim, Alfous, et al.
Published: (2026)
XAI FL-IDS: A Federated Learning and SHAP-Based Explainable Framework for Distributed Intrusion Detection Systems
by: Gholamrezazadeh, Mohammad Hossein, et al.
Published: (2026)
by: Gholamrezazadeh, Mohammad Hossein, et al.
Published: (2026)
FetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm
by: Ghosh, Shreya, et al.
Published: (2025)
by: Ghosh, Shreya, et al.
Published: (2025)
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
by: Rezakhani, Mahshid, et al.
Published: (2025)
by: Rezakhani, Mahshid, et al.
Published: (2025)
Neurosymbolic Learning for Advanced Persistent Threat Detection under Extreme Class Imbalance
by: Fathima, Quhura, et al.
Published: (2026)
by: Fathima, Quhura, et al.
Published: (2026)
Intrusion Prevention through Optimal Stopping
by: Hammar, Kim, et al.
Published: (2021)
by: Hammar, Kim, et al.
Published: (2021)
Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities
by: Rahmati, Milad
Published: (2025)
by: Rahmati, Milad
Published: (2025)
Adaptive Dual-Layer Web Application Firewall (ADL-WAF) Leveraging Machine Learning for Enhanced Anomaly and Threat Detection
by: Sameh, Ahmed, et al.
Published: (2025)
by: Sameh, Ahmed, et al.
Published: (2025)
Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
by: Canh, Thanh Nguyen, et al.
Published: (2024)
by: Canh, Thanh Nguyen, et al.
Published: (2024)
ConCap: Practical Network Traffic Generation for (ML- and) Flow-based Intrusion Detection Systems
by: Verkerken, Miel, et al.
Published: (2025)
by: Verkerken, Miel, et al.
Published: (2025)
Resource-Aware Layered Intrusion Detection Allocation Model
by: Pădurean, Ioan, et al.
Published: (2026)
by: Pădurean, Ioan, et al.
Published: (2026)
Advancing Network Security: A Comprehensive Testbed and Dataset for Machine Learning-Based Intrusion Detection
by: Farasat, Talaya, et al.
Published: (2024)
by: Farasat, Talaya, et al.
Published: (2024)
Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction
by: Li, Ruoyu, et al.
Published: (2024)
by: Li, Ruoyu, et al.
Published: (2024)
DT-DDNN: A Physical Layer Security Attack Detector in 5G RF Domain for CAVs
by: Asemian, Ghazal, et al.
Published: (2024)
by: Asemian, Ghazal, et al.
Published: (2024)
Similar Items
-
Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed
by: Nasereddin, Mohammed, et al.
Published: (2023) -
Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
by: Baidar, Rasil, et al.
Published: (2025) -
Sdn Intrusion Detection Using Machine Learning Method
by: Mahmud, Muhammad Zawad, et al.
Published: (2024) -
Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining
by: Vitale, Francesco, et al.
Published: (2026) -
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
by: Cantone, Marco, et al.
Published: (2024)