Online Fraud Detection using Deep Learning Techniques

Abstract

Data security has consistently been a major issue
in information technology. In the cloud computing
environment, it becomes particularly serious because the
data is located in different places even in all the globe. Data
security and privacy protection are the two main factors of
user’s concerns about the cloud technology. Though many
techniques on the topics in cloud computing have been
investigated in both academics and industries, data security
and privacy protection are becoming more important for
the future development of cloud computing technology in
government, industry, and business. Data security and
privacy protection issues are relevant to both hardware and
software in the cloud architecture. This study is to review
different security techniques and challenges from both
software and hardware aspects for protecting data in the
cloud and aims at enhancing the data security and privacy
protection for the trustworthy cloud environment. In this
paper, we make a comparative research analysis of the
existing research work regarding the data security and
privacy protection techniques used in the cloud computing