CICDDoS-2019

The 'CICDDoS-2019' dataset is a benchmark that contains network traffic data specifically designed to evaluate network intrusion detection systems (NIDS) against distributed denial-of-service (DDoS) attacks.

Papers using CICDDoS-2019 (9)

nCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection2026Ai-powered Hybrid Intrusion Detection Framework For Cloud Security Using Novel Metaheuristic Optimization2026SentinelSphere: An AI-driven cybersecurity platform integrating real-time threat detection with security awareness education2026Enterprise Network Security Using Few‐Shot Meta‐Learning2026NEAT-ID: A Novel Method for Enhancing Threat Detection Process DDoS in Cybersecurity2026Sentinelsphere: Integrating Ai-powered Real-time Threat Detection With Cybersecurity Awareness Training2026Machine Learning For Network Attacks Classification And Statistical Evaluation Of Adversarial Learning Methodologies For Synthetic Data Generation2026Detection Of Ddos Attacks In Software Defined Networking Using Machine Learning Models2023 · 19 citesPredict And Prevent DDOS Attacks Using Machine Learning And Statistical Algorithms2023 · 1 cites