CIC-dDoS-2019
Emerging10papers using it
2023first seen
The 'CIC-DDoS-2019' dataset is a benchmark that contains data on Distributed Denial of Service (DDoS) attacks, used to evaluate machine learning-based threat detection systems.
Papers using CIC-dDoS-2019 (9)
- BARS: Benign-Anchored Ranking and Selection for False Alarm Reduction in Network Intrusion DetectionSHIELD-IDS: Structurally Heterogeneous Ensemble with Integrated Layered Defense for Intrusion Detection SystemsEnterprise Network Security Using Few‐Shot Meta‐LearningNEAT-ID: A Novel Method for Enhancing Threat Detection Process DDoS in CybersecuritySentinelsphere: Integrating Ai-powered Real-time Threat Detection With Cybersecurity Awareness TrainingMachine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data GenerationAI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic OptimizationHolmes: An Evidence-Grounded LLM Agent for Auditable DDoS Investigation in Cloud NetworksDetection Of Ddos Attacks In Software Defined Networking Using Machine Learning Models