Federated MapReduce fractional deep learning for scalable and privacy-aware intrusion detection in cloud computing
Conventional intrusion detection systems (IDSs) are not suitable for large-scale, heterogeneous, and privacy-sensitive cloud environments, owing to the rapid adoption of cloud computing and Internet of Things (IoT) technologies, which have resulted in an increasing scale and complexity of cyberattacks. Current machine...