DDoS Attacks Analysis with Cyber Data Forensics using Weighted Logistic Regression and Random Forest
Author:
Affiliation:
1. REVA University,Department of Computer Science and Engineering,Bangalore,India
2. M S Ramaiah Institute of Technology (Affiliated to VTU),Department of Computer Science and Engineering,Bangalore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10110034/10110036/10110133.pdf?arnumber=10110133
Reference19 articles.
1. A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs
2. Fuzzy logic-based DDoS attacks and network traffic anomaly detection methods: Classification, overview, and future perspectives
3. Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks
4. Anomaly Detection Techniques for Different DDoS Attack Types
5. A review on statistical approaches for anomaly detection in DDoS attacks
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