Goldeneye drains resources via HTTP Keep-Alive + NoCache, while Hulk floods servers with unique requests. Our unsupervised DL model detects both with 92%+ F1-scores, proving its adaptability to diverse attack vectors. 🌟 Follow us on LinkedIn! Check the updates…
Encryption alone can’t stop DoS floods or zero-day exploits. Our AI-assisted security framework adds a proactive layer, detecting anomalies before they disrupt services. The future of 6G defense is multi-layered intelligence. 🌟 Follow us on LinkedIn! Check the updates…
Higher N (packet flow length) improves detection but increases computational overhead. Our experiments show N=10-20 offers the best trade-off, achieving 97% F1-scores without overloading base stations. Efficiency meets accuracy in 6G security. 🌟 Follow us on LinkedIn! Check the…
Single-node AI is powerful, but collaborative learning across base stations could revolutionize threat detection. Our research lays the groundwork for federated models that adapt to distributed attacks in real time. The future of 6G security is collective intelligence. 🌟 Follow…
Gaussian Mixture Models (GMM) don’t just cluster—they provide probabilistic insights into traffic anomalies. By analyzing latent space embeddings from our autoencoder, we detect threats with 96.9% precision, even in imbalanced traffic scenarios. 🌟 Follow us on LinkedIn! Check the…
Supervised models fail when faced with new, unseen attacks. Our research leverages autoencoders + GMM clustering to detect anomalies without labeled data, achieving 92.2% F1-score on previously unknown DoS Goldeneye attacks. A critical step toward self-healing 6G networks. 🌟 Follow…
Our scanner successfully detected critical vulnerabilities like Heartbleed, Shellshock, and EternalBlue during evaluation.  🌟 Follow us on LinkedIn! https://www.linkedin.com/company/clever-project/?viewAsMember=true 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You can read the post on our website: https://lnkd.in/d4MB_HhM 🌟 Full paper in: https://zenodo.org/records/14944370
