CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment
Fuente:
arXiv
Saved in:
| Main Authors: | Gohari, Rasoul Jafari, Aliahmadipour, Laya, Rafsanjani, Marjan Kuchaki |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
by: Gohari, Rasoul Jafari, et al.
Published: (2024)
by: Gohari, Rasoul Jafari, et al.
Published: (2024)
Collaborative P4-SDN DDoS Detection and Mitigation with Early-Exit Neural Networks
by: Karrakchou, Ouassim, et al.
Published: (2025)
by: Karrakchou, Ouassim, et al.
Published: (2025)
Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
by: Elsayed, Nelly, et al.
Published: (2025)
by: Elsayed, Nelly, et al.
Published: (2025)
Optimizing DDoS Detection in SDNs Through Machine Learning Models
by: Haque, Md. Ehsanul, et al.
Published: (2025)
by: Haque, Md. Ehsanul, et al.
Published: (2025)
Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
by: Hekmati, Arvin, et al.
Published: (2024)
by: Hekmati, Arvin, et al.
Published: (2024)
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)
Five Minutes of DDoS Brings down Tor: DDoS Attacks on the Tor Directory Protocol and Mitigations
by: Luo, Zhongtang, et al.
Published: (2025)
by: Luo, Zhongtang, et al.
Published: (2025)
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)
The Age of DDoScovery: An Empirical Comparison of Industry and Academic DDoS Assessments
by: Hiesgen, Raphael, et al.
Published: (2024)
by: Hiesgen, Raphael, et al.
Published: (2024)
Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
by: Modi, P
Published: (2024)
by: Modi, P
Published: (2024)
A Novel Trust-Based DDoS Cyberattack Detection Model for Smart Business Environments
by: Okporokpo, Oghenetejiri, et al.
Published: (2025)
by: Okporokpo, Oghenetejiri, et al.
Published: (2025)
Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies
by: Wang, Jincheng, et al.
Published: (2025)
by: Wang, Jincheng, et al.
Published: (2025)
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)
A Transformer-Based Approach for DDoS Attack Detection in IoT Networks
by: Dey, Sandipan, et al.
Published: (2025)
by: Dey, Sandipan, et al.
Published: (2025)
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)
Graph Neural Network-Based DDoS Protection for Data Center Infrastructure
by: Sharma, Kartikeya, et al.
Published: (2026)
by: Sharma, Kartikeya, et al.
Published: (2026)
On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT
by: Jaiswal, Rahul, et al.
Published: (2026)
by: Jaiswal, Rahul, et al.
Published: (2026)
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models
by: Swileh, Mohammed N., et al.
Published: (2026)
by: Swileh, Mohammed N., et al.
Published: (2026)
Towards Explainable Meta-Learning for DDoS Detection
by: Zhou, Qianru, et al.
Published: (2022)
by: Zhou, Qianru, et al.
Published: (2022)
CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
by: ElSayed, Zag, et al.
Published: (2025)
by: ElSayed, Zag, et al.
Published: (2025)
A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection
by: Giryes, Raja, et al.
Published: (2024)
by: Giryes, Raja, et al.
Published: (2024)
DDoS Attacks in Cloud Computing: Detection and Prevention
by: Ahmad, Zain, et al.
Published: (2025)
by: Ahmad, Zain, et al.
Published: (2025)
A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
by: Jaiswal, Rahul, et al.
Published: (2026)
by: Jaiswal, Rahul, et al.
Published: (2026)
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data
by: Gohari, Rasoul Jafari, et al.
Published: (2024)
by: Gohari, Rasoul Jafari, et al.
Published: (2024)
Assessing the Aftermath: the Effects of a Global Takedown against DDoS-for-hire Services
by: Vu, Anh V., et al.
Published: (2025)
by: Vu, Anh V., et al.
Published: (2025)
A Review on the Security Vulnerabilities of the IoMT against Malware Attacks and DDoS
by: Dzamesi, Lily, et al.
Published: (2025)
by: Dzamesi, Lily, et al.
Published: (2025)
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)
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)
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)
Multi Layer Protection Against Low Rate DDoS Attacks in Containerized Systems
by: Fareed, Ahmad, et al.
Published: (2026)
by: Fareed, Ahmad, et al.
Published: (2026)
Detecting and Mitigating DDoS Attacks with AI: A Survey
by: Apostu, Alexandru, et al.
Published: (2025)
by: Apostu, Alexandru, et al.
Published: (2025)
Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
by: Elsayed, Nelly
Published: (2026)
by: Elsayed, Nelly
Published: (2026)
A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, 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)
Lightweight CNN-Based DDoS Detection for Resource-Constrained Edge Networks
by: Ramanathan, Vedanth, et al.
Published: (2023)
by: Ramanathan, Vedanth, et al.
Published: (2023)
Rethinking On-Device LLM Reasoning: Why Analogical Mapping Outperforms Abstract Thinking for IoT DDoS Detection
by: Pan, William, et al.
Published: (2026)
by: Pan, William, et al.
Published: (2026)
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)
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)
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)
Similar Items
-
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
by: Gohari, Rasoul Jafari, et al.
Published: (2024) -
Collaborative P4-SDN DDoS Detection and Mitigation with Early-Exit Neural Networks
by: Karrakchou, Ouassim, et al.
Published: (2025) -
Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
by: Elsayed, Nelly, et al.
Published: (2025) -
Optimizing DDoS Detection in SDNs Through Machine Learning Models
by: Haque, Md. Ehsanul, et al.
Published: (2025) -
Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
by: Hekmati, Arvin, et al.
Published: (2024)