Application of Deep Learning in Cloud Security
Jain Jaya · 2021
As we have seen over the years, Deep Learning has become a pattern. An in-depth study helps improve research and can learn a large amount of unparalleled information. Additionally, data protection procedures will be limited to a few fields. As a result, this paper provides an in-depth study survey and an idea for a new application for in-depth study in future research. On the other hand, various methods data protection for Cloud Computing have been proposed. However, there are many drawbacks to this issue. The security point improves cloud security and data efficiency in cloud outsourcing, as security is an important issue in the cloud and a proper algorithm is needed. With the cloud, security is secure. This method is based on two algorithms, one based on machine learning and the other on a neural system. The machine learning algorithm is based on a KNN algorithm and neural system strategy. Based on data fragment and hashing technology, both of these processes should optimize cloud security by using cloud data encryption to the cloud server. There are seven applications used for the in-depth study described, namely, customer relationship management, image recognition, natural language processing, recommendation programs, automated speech recognition, drug discovery and toxicology, and bioinformatics. In this case, we will discuss the results of the study and identify areas that need to be redesigned.