CIC-DDoS-2019

The CIC-DDoS2019 dataset is a benchmark that contains data for evaluating machine learning-based threat identification in the context of DDoS attacks.

Papers using CIC-DDoS-2019 (8)

Ai-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