Research Area:  Cloud Security
Cloud security is an essential parameter in all technologies. Moreover, today’s life is majorly dependent on cloud-related applications. In the past decades, mini-applications are used to balancing the security too valuable information. Due to a lack of security issues, the discussed application is unable to providing robust security to data. Therefore, artificial intelligence, machine learning, and deep learning techniques are required to fulfill the above provisions. In this research paper, cloud security issues and various attacks like malware, phishing, credential stuffing and etc. are discussed with the machine and deep learning techniques. Finally, the performance measures such as accuracy, robust score, sensitivity, F1 score, and recall have been analyzed for future cloud security techniques.
Keywords:  
Cloud security
attacks
machine learning
deep learning
Author(s) Name:  N. Srikanth; T. Prem Jacob
Journal name:  
Conferrence name:   2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
Publisher name:  IEEE
DOI:  10.1109/I-SMAC52330.2021.9640650
Volume Information:  
Paper Link:   https://ieeexplore.ieee.org/abstract/document/9640650