A Review of Classifying and Securing Sensitive Customer Data on Cloud Environments using Cryptographic Algorithms

Abstract

Cloud computing is a medium for providing applications to cloud customers over the Internet. Cloud infrastructure is critical for storing and analyzing massive amounts of data from social media, companies, organizations, government sectors, and other sources. So, to store all of the data in the cloud, we need a big storage size. Whenever the storage size increases, security problems often occur at the same time. Protection is a major issue for each invention because of "how the cloud service providers can be trusted" either from the past or recently innovated. There are still many challenges facing the current system in enhancing DDoS attacks, data breaches, and loss of data, vulnerable access points, notifications, and alerts. Many researchers have concentrated on creating powerful and sensitive data, lack of data recovery, and data storage to solve the above issues, using cloud protection techniques to capitalize on them. The proposed research is therefore based on one of the most difficult aspects of cloud computing i.e. Protection & confidentiality. The objective is to bring out the drastic pattern for cloud systems using the appropriate algorithms for improving data storage in a cloud environment. In this paper, we will make a survey on major security alarms, attacks as well as solutions.