Improving Data Security and Privacy in Cloud-Based Data Analysis: A Results-Driven Approach

The use of online platforms for analysing data has continued to rise which has led to numerous issues of concern as regards the safety of data. This paper offers much focused solution-oriented approach to respond to the challenge of improving security and privacy of data in cloud. In order to ensure the effectiveness of advanced encryption techniques, to secure the data access and to safeguard the privacy of data analysis, an innovative approach is presented in this work. It uses the most modern methods to protect data by encrypting them during the processing using homomorphic encryption and secure multi-party computation methods. Moreover, narrow access of the data is maintained to safeguard unauthorized personnel from accessing the data, while carrying out analysis. By the overall results of the experimental analysis of the method presented, it can be noted that the proposed solution offers higher levels of security and privacy than current solutions. This solution shows a great improvement on the potential risks which inturn increases trust on cloud analysis of the data.