A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
Fuente:
arXiv
Saved in:
| Main Authors: | Hallaji, Ehsan, Shanmugam, Vaishnavi, Razavi-Far, Roozbeh, Saif, Mehrdad |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, et al.
Published: (2025)
FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, et al.
Published: (2025)
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, et al.
Published: (2025)
Decentralized Federated Learning: A Survey on Security and Privacy
by: Hallaji, Ehsan, et al.
Published: (2024)
by: Hallaji, Ehsan, et al.
Published: (2024)
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids
by: Hassani, Hossein, et al.
Published: (2023)
by: Hassani, Hossein, et al.
Published: (2023)
Detecting and Mitigating DDoS Attacks with AI: A Survey
by: Apostu, Alexandru, et al.
Published: (2025)
by: Apostu, Alexandru, et al.
Published: (2025)
Enhancing IoT Security Against DDoS Attacks through Federated Learning
by: Shirvani, Ghazaleh, et al.
Published: (2024)
by: Shirvani, Ghazaleh, et al.
Published: (2024)
Diffusion-Driven Synthetic Tabular Data Generation for Enhanced DoS/DDoS Attack Classification
by: B, Aravind, et al.
Published: (2026)
by: B, Aravind, et al.
Published: (2026)
On the Consistency of GNN Explanations for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
Federated Continual Learning: Concepts, Challenges, and Solutions
by: Hamedi, Parisa, et al.
Published: (2025)
by: Hamedi, Parisa, et al.
Published: (2025)
Feature Selection via GANs (GANFS): Enhancing Machine Learning Models for DDoS Mitigation
by: Patel, Harsh
Published: (2025)
by: Patel, Harsh
Published: (2025)
MixGAN: A Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks
by: Wu, Tongxi, et al.
Published: (2025)
by: Wu, Tongxi, et al.
Published: (2025)
Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
by: Modi, P
Published: (2024)
by: Modi, P
Published: (2024)
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication
by: Muktar, Bappa, et al.
Published: (2025)
by: Muktar, Bappa, et al.
Published: (2025)
DDoS Attacks in Cloud Computing: Detection and Prevention
by: Ahmad, Zain, et al.
Published: (2025)
by: Ahmad, Zain, et al.
Published: (2025)
LLM Security and Safety: Insights from Homotopy-Inspired Prompt Obfuscation
by: Lazo, Luis, et al.
Published: (2026)
by: Lazo, Luis, et al.
Published: (2026)
Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2026)
by: Shokouhinejad, Hossein, et al.
Published: (2026)
A Comprehensive Study of Supervised Machine Learning Models for Zero-Day Attack Detection: Analyzing Performance on Imbalanced Data
by: Lotfi, Zahra, et al.
Published: (2025)
by: Lotfi, Zahra, et al.
Published: (2025)
Dual Explanations via Subgraph Matching for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
Forecasting Future DDoS Attacks Using Long Short Term Memory (LSTM) Model
by: Yeen, Kong Mun, et al.
Published: (2025)
by: Yeen, Kong Mun, et al.
Published: (2025)
Towards Explainable Meta-Learning for DDoS Detection
by: Zhou, Qianru, et al.
Published: (2022)
by: Zhou, Qianru, et al.
Published: (2022)
Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs
by: Chatzimiltis, Sotiris, et al.
Published: (2025)
by: Chatzimiltis, Sotiris, et al.
Published: (2025)
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
by: Alfatemi, Ali, et al.
Published: (2024)
by: Alfatemi, Ali, et al.
Published: (2024)
Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
by: Haque, Md. Ehsanul, et al.
Published: (2025)
by: Haque, Md. Ehsanul, et al.
Published: (2025)
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques
by: Mohammadian, Hesamodin, et al.
Published: (2024)
by: Mohammadian, Hesamodin, et al.
Published: (2024)
A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
by: Shakya, Sushil, et al.
Published: (2024)
by: Shakya, Sushil, et al.
Published: (2024)
Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
by: Elsayed, Nelly
Published: (2026)
by: Elsayed, Nelly
Published: (2026)
Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs
by: Sharma, Ashish, et al.
Published: (2024)
by: Sharma, Ashish, et al.
Published: (2024)
Intelligent DoS and DDoS Detection: A Hybrid GRU-NTM Approach to Network Security
by: Panggabean, Caroline, et al.
Published: (2025)
by: Panggabean, Caroline, et al.
Published: (2025)
SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
by: Onyeka, Henry, et al.
Published: (2025)
by: Onyeka, Henry, et al.
Published: (2025)
Harnessing PU Learning for Enhanced Cloud-based DDoS Detection: A Comparative Analysis
by: Dilworth, Robert, et al.
Published: (2024)
by: Dilworth, Robert, et al.
Published: (2024)
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review
by: Hassani, Hossein, et al.
Published: (2024)
by: Hassani, Hossein, et al.
Published: (2024)
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
by: Dang, Zhangxuan, et al.
Published: (2024)
by: Dang, Zhangxuan, et al.
Published: (2024)
Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
by: Martinez, Fernando, et al.
Published: (2024)
by: Martinez, Fernando, et al.
Published: (2024)
Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods
by: Bragg, Landon, et al.
Published: (2025)
by: Bragg, Landon, et al.
Published: (2025)
Detection and classification of DDoS flooding attacks by machine learning method
by: Tymoshchuk, Dmytro, et al.
Published: (2024)
by: Tymoshchuk, Dmytro, et al.
Published: (2024)
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
by: Jelodar, Hamed, et al.
Published: (2025)
by: Jelodar, Hamed, et al.
Published: (2025)
Recent Advances in Malware Detection: Graph Learning and Explainability
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense
by: Chakraborty, Trisha, et al.
Published: (2023)
by: Chakraborty, Trisha, et al.
Published: (2023)
Similar Items
-
A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning
by: Hallaji, Ehsan, et al.
Published: (2025) -
FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL
by: Hallaji, Ehsan, et al.
Published: (2025) -
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
by: Hallaji, Ehsan, et al.
Published: (2025) -
Decentralized Federated Learning: A Survey on Security and Privacy
by: Hallaji, Ehsan, et al.
Published: (2024) -
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids
by: Hassani, Hossein, et al.
Published: (2023)