Imagen de Portada

Optimizing DDoS Detection in SDNs Through Machine Learning Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Haque, Md. Ehsanul, Hossain, Amran, Alam, Md. Shafiqul, Siam, Ahsan Habib, Rabbi, Sayed Md Fazle, Rahman, Md. Muntasir
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CredSec: A Blockchain-based Secure Credential Management System for University Adoption
por: Habib, Md. Ahsan, et al.
Publicado: (2024)

Forecasting Future DDoS Attacks Using Long Short Term Memory (LSTM) Model
por: Yeen, Kong Mun, et al.
Publicado: (2025)

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
por: Haque, Md. Ehsanul, et al.
Publicado: (2025)

Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques
por: Fahim, Abrar, et al.
Publicado: (2025)

Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
por: Elsayed, Nelly, et al.
Publicado: (2025)

Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms
por: Rahman, Md. Abdur
Publicado: (2025)

Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
por: Hossain, Md Zakir, et al.
Publicado: (2026)

Analyzing Performance Bottlenecks in Zero-Knowledge Proof Based Rollups on Ethereum
por: Habib, Md. Ahsan
Publicado: (2025)

Security Vulnerabilities in Software Supply Chain for Autonomous Vehicles
por: Haque, Md Wasiul, et al.
Publicado: (2025)

SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks
por: Ashikuzzaman, et al.
Publicado: (2026)

CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
por: ElSayed, Zag, et al.
Publicado: (2025)

Trackly: A Unified SaaS Platform for User Behavior Analytics and Real Time Rule Based Anomaly Detection
por: Haque, Md Zahurul, et al.
Publicado: (2026)

PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
por: Ovi, Md Sultanul Islam, et al.
Publicado: (2024)

A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks
por: Hossain, Md. Alamgir, et al.
Publicado: (2025)

LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
por: Haque, Md Ahsanul, et al.
Publicado: (2025)

CITADEL: A Semi-Supervised Active Learning Framework for Malware Detection Under Continuous Distribution Drift
por: Haque, Md Ahsanul, et al.
Publicado: (2025)

An Optimized Decision Tree-Based Framework for Explainable IoT Anomaly Detection
por: Ashikuzzaman, et al.
Publicado: (2026)

Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
por: Modi, P
Publicado: (2024)

Five Minutes of DDoS Brings down Tor: DDoS Attacks on the Tor Directory Protocol and Mitigations
por: Luo, Zhongtang, et al.
Publicado: (2025)

DSTAN-Med: Dual-Channel Spatiotemporal Attention with Physiological Plausibility Filtering for False Data Injection Attack Detection in IoT-Based Medical Devices
por: Hasan, Md Mehedi, et al.
Publicado: (2026)

Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication
por: Muktar, Bappa, et al.
Publicado: (2025)

A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
por: Shakya, Sushil, et al.
Publicado: (2024)

Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection
por: Sayed, Md Abu, et al.
Publicado: (2024)

The Age of DDoScovery: An Empirical Comparison of Industry and Academic DDoS Assessments
por: Hiesgen, Raphael, et al.
Publicado: (2024)

Assessing the influence of cybersecurity threats and risks on the adoption and growth of digital banking: a systematic literature review
por: Waliullah, Md., et al.
Publicado: (2025)

MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs
por: Talukder, Md. Alamin, et al.
Publicado: (2024)

R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning
por: Alam, Md Tanvirul, et al.
Publicado: (2024)

CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment
por: Gohari, Rasoul Jafari, et al.
Publicado: (2024)

Towards Explainable Meta-Learning for DDoS Detection
por: Zhou, Qianru, et al.
Publicado: (2022)

Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
por: Hekmati, Arvin, et al.
Publicado: (2024)

Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies
por: Wang, Jincheng, et al.
Publicado: (2025)

Protected QR Code-based Anti-counterfeit System for Pharmaceutical Manufacturing
por: Aulia, Md Masruk, et al.
Publicado: (2024)

Optimizing Secure Quantum Information Transmission in Entanglement-Assisted Quantum Networks
por: Karim, Tasmin, et al.
Publicado: (2025)

ShieldBypass: On the Persistence of Impedance Leakage Beyond EM Shielding
por: Awal, Md Sadik, et al.
Publicado: (2026)

DistB-VNET: Distributed Cluster-based Blockchain Vehicular Ad-Hoc Networks through SDN-NFV for Smart City
por: Rahman, Anichur, et al.
Publicado: (2024)

Binary and Multi-Class Intrusion Detection in IoT Using Standalone and Hybrid Machine and Deep Learning Models
por: Akif, Md Ahnaf
Publicado: (2025)

Multi Layer Protection Against Low Rate DDoS Attacks in Containerized Systems
por: Fareed, Ahmad, et al.
Publicado: (2026)

Elevating Intrusion Detection and Security Fortification in Intelligent Networks through Cutting-Edge Machine Learning Paradigms
por: Munna, Md Minhazul Islam, et al.
Publicado: (2025)

Modelling Attacks in Blockchain Systems using Petri Nets
por: Shahriar, Md. Atik, et al.
Publicado: (2020)

SPADE: Enhancing Adaptive Cyber Deception Strategies with Generative AI and Structured Prompt Engineering
por: Ahmed, Shihab, et al.
Publicado: (2025)