Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

The experimental results show that the method can effectively detect the low-rate DDoS attack against the SDN data layer, and the detection accuracy reaches 95.80 percent. Because FM algorithm can ...

that bad actors deploy in small numbers to test detection systems before launching cross-industry mega-attacks. Fueled by Fraud-as-a-Service (FaaS) toolkits that include pre-packaged tools like ...

To cope with it, this paper proposes an efficient information processing framework and applies it to Distributed Denial of Service (DDoS) attack detection ... A novel denoising algorithm based on ...

"By employing highly simulated HTTP Flood attacks and dynamic feature obfuscation techniques, it circumvents traditional rule-based detection mechanisms ... "HTTPBot marks a paradigm shift in DDoS ...

For many years, the distributed denial-of-service (DDoS) threat landscape revolved around reflection/amplification attacks ... for DDoS detection. DDoS mitigation has a different set of requirements ...