Collaborative P4-SDN DDoS Detection and Mitigation with Early-Exit Neural Networks
Fuente:
arXiv
Guardado en:
| Autores principales: | Karrakchou, Ouassim, Zniber, Alaa, Sebbar, Anass, Ghogho, Mounir |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Balancing Stability and Plasticity in Sequentially Trained Early-Exiting Neural Networks
por: Zniber, Alaa, et al.
Publicado: (2026)
por: Zniber, Alaa, et al.
Publicado: (2026)
Hardware-Algorithm Co-Optimization of Early-Exit Neural Networks for Multi-Core Edge Accelerators
por: Zniber, Alaa, et al.
Publicado: (2025)
por: Zniber, Alaa, et al.
Publicado: (2025)
Early Exiting Predictive Coding Neural Networks for Edge AI
por: Zniber, Alaa, et al.
Publicado: (2023)
por: Zniber, Alaa, et al.
Publicado: (2023)
Five Minutes of DDoS Brings down Tor: DDoS Attacks on the Tor Directory Protocol and Mitigations
por: Luo, Zhongtang, et al.
Publicado: (2025)
por: Luo, Zhongtang, et al.
Publicado: (2025)
CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment
por: Gohari, Rasoul Jafari, et al.
Publicado: (2024)
por: Gohari, Rasoul Jafari, et al.
Publicado: (2024)
Graph Neural Network-Based DDoS Protection for Data Center Infrastructure
por: Sharma, Kartikeya, et al.
Publicado: (2026)
por: Sharma, Kartikeya, et al.
Publicado: (2026)
Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
por: Hekmati, Arvin, et al.
Publicado: (2024)
por: Hekmati, Arvin, et al.
Publicado: (2024)
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models
por: Swileh, Mohammed N., et al.
Publicado: (2026)
por: Swileh, Mohammed N., et al.
Publicado: (2026)
The Age of DDoScovery: An Empirical Comparison of Industry and Academic DDoS Assessments
por: Hiesgen, Raphael, et al.
Publicado: (2024)
por: Hiesgen, Raphael, et al.
Publicado: (2024)
Optimizing DDoS Detection in SDNs Through Machine Learning Models
por: Haque, Md. Ehsanul, et al.
Publicado: (2025)
por: Haque, Md. Ehsanul, et al.
Publicado: (2025)
Detecting and Mitigating DDoS Attacks with AI: A Survey
por: Apostu, Alexandru, et al.
Publicado: (2025)
por: Apostu, Alexandru, et al.
Publicado: (2025)
A Transformer-Based Approach for DDoS Attack Detection in IoT Networks
por: Dey, Sandipan, et al.
Publicado: (2025)
por: Dey, Sandipan, et al.
Publicado: (2025)
Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies
por: Wang, Jincheng, et al.
Publicado: (2025)
por: Wang, Jincheng, et al.
Publicado: (2025)
A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
por: Shakya, Sushil, et al.
Publicado: (2024)
por: Shakya, Sushil, et al.
Publicado: (2024)
A Novel Trust-Based DDoS Cyberattack Detection Model for Smart Business Environments
por: Okporokpo, Oghenetejiri, et al.
Publicado: (2025)
por: Okporokpo, Oghenetejiri, et al.
Publicado: (2025)
Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
por: Elsayed, Nelly, et al.
Publicado: (2025)
por: Elsayed, Nelly, et al.
Publicado: (2025)
Towards Explainable Meta-Learning for DDoS Detection
por: Zhou, Qianru, et al.
Publicado: (2022)
por: Zhou, Qianru, et al.
Publicado: (2022)
Intelligent DoS and DDoS Detection: A Hybrid GRU-NTM Approach to Network Security
por: Panggabean, Caroline, et al.
Publicado: (2025)
por: Panggabean, Caroline, et al.
Publicado: (2025)
SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
por: Onyeka, Henry, et al.
Publicado: (2025)
por: Onyeka, Henry, et al.
Publicado: (2025)
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
por: Alfatemi, Ali, et al.
Publicado: (2024)
por: Alfatemi, Ali, et al.
Publicado: (2024)
Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs
por: Chatzimiltis, Sotiris, et al.
Publicado: (2025)
por: Chatzimiltis, Sotiris, et al.
Publicado: (2025)
Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
por: Modi, P
Publicado: (2024)
por: Modi, P
Publicado: (2024)
A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection
por: Giryes, Raja, et al.
Publicado: (2024)
por: Giryes, Raja, et al.
Publicado: (2024)
DDoS Attacks in Cloud Computing: Detection and Prevention
por: Ahmad, Zain, et al.
Publicado: (2025)
por: Ahmad, Zain, et al.
Publicado: (2025)
Proactive DDoS Detection and Mitigation in Decentralized Software-Defined Networking via Port-Level Monitoring and Zero-Training Large Language Models
por: Swileh, Mohammed N., et al.
Publicado: (2025)
por: Swileh, Mohammed N., et al.
Publicado: (2025)
SHoM: A Mental-Synthesis Trust Management Model for Mitigating Botnet-Driven DDoS Attacks in the Internet of Things
por: Khyavi, Masoud Hayeri
Publicado: (2025)
por: Khyavi, Masoud Hayeri
Publicado: (2025)
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication
por: Muktar, Bappa, et al.
Publicado: (2025)
por: Muktar, Bappa, et al.
Publicado: (2025)
Assessing the Aftermath: the Effects of a Global Takedown against DDoS-for-hire Services
por: Vu, Anh V., et al.
Publicado: (2025)
por: Vu, Anh V., et al.
Publicado: (2025)
A Review on the Security Vulnerabilities of the IoMT against Malware Attacks and DDoS
por: Dzamesi, Lily, et al.
Publicado: (2025)
por: Dzamesi, Lily, et al.
Publicado: (2025)
Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs
por: Sharma, Ashish, et al.
Publicado: (2024)
por: Sharma, Ashish, et al.
Publicado: (2024)
Harnessing PU Learning for Enhanced Cloud-based DDoS Detection: A Comparative Analysis
por: Dilworth, Robert, et al.
Publicado: (2024)
por: Dilworth, Robert, et al.
Publicado: (2024)
Detection and classification of DDoS flooding attacks by machine learning method
por: Tymoshchuk, Dmytro, et al.
Publicado: (2024)
por: Tymoshchuk, Dmytro, et al.
Publicado: (2024)
Feature Selection via GANs (GANFS): Enhancing Machine Learning Models for DDoS Mitigation
por: Patel, Harsh
Publicado: (2025)
por: Patel, Harsh
Publicado: (2025)
MixGAN: A Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks
por: Wu, Tongxi, et al.
Publicado: (2025)
por: Wu, Tongxi, et al.
Publicado: (2025)
Holmes: An Evidence-Grounded LLM Agent for Auditable DDoS Investigation in Cloud Networks
por: Chen, Haodong, et al.
Publicado: (2026)
por: Chen, Haodong, et al.
Publicado: (2026)
Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism
por: Fraihi, Nouhaila, et al.
Publicado: (2025)
por: Fraihi, Nouhaila, et al.
Publicado: (2025)
CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
por: ElSayed, Zag, et al.
Publicado: (2025)
por: ElSayed, Zag, et al.
Publicado: (2025)
Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
por: Elsayed, Nelly
Publicado: (2026)
por: Elsayed, Nelly
Publicado: (2026)
How To Mitigate And Defend Against DDoS Attacks In IoT Devices
por: Leigha, Ifiyemi, et al.
Publicado: (2025)
por: Leigha, Ifiyemi, et al.
Publicado: (2025)
Lightweight CNN-Based DDoS Detection for Resource-Constrained Edge Networks
por: Ramanathan, Vedanth, et al.
Publicado: (2023)
por: Ramanathan, Vedanth, et al.
Publicado: (2023)
Ejemplares similares
-
Balancing Stability and Plasticity in Sequentially Trained Early-Exiting Neural Networks
por: Zniber, Alaa, et al.
Publicado: (2026) -
Hardware-Algorithm Co-Optimization of Early-Exit Neural Networks for Multi-Core Edge Accelerators
por: Zniber, Alaa, et al.
Publicado: (2025) -
Early Exiting Predictive Coding Neural Networks for Edge AI
por: Zniber, Alaa, et al.
Publicado: (2023) -
Five Minutes of DDoS Brings down Tor: DDoS Attacks on the Tor Directory Protocol and Mitigations
por: Luo, Zhongtang, et al.
Publicado: (2025) -
CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment
por: Gohari, Rasoul Jafari, et al.
Publicado: (2024)