A Hybrid Model for Minimizing Malware Threats in Cloud Computing Using Generative Adversarial Networks (GANs) and Federated Learning (FL)
The objective of this study is to develop a hybrid model for minimizing malware threats in cloud computing model using Generative Adversary Networks (GANs) and Federated Learning (FL), to improve detection accuracy and reduce false positives using the hybrid model. The project was motivated by the prevailing challenges...