Abdul Samad Mohammed

Privacy-Preserving Federated Learning Framework Using Dynamic Privacy for Network Intrusion Detection in Cloud Computing

Cloud computing has expanded rapidly with the adoption of distributed applications and network-based services, generating large-scale, heterogeneous traffic that requires efficient, privacy-preserving intrusion detection. Conventional intrusion detection systems suffer from limitations such as centralised data dependen...